Resilience-Oriented Planning of Multi-Carrier Microgrids under Cyber-Attacks
•A generic microgrid decision support model is developed.•An efficient mechanism is developed to generate attack-resilient multi-carrier microgrids.•Critical physical assets are identified and reinforced against cyber-physical attacks.•Financial viability of multi-carrier microgrids is explored from...
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Published in | Sustainable cities and society Vol. 79; p. 103709 |
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Main Authors | , , , , |
Format | Journal Article |
Language | English |
Published |
Elsevier Ltd
01.04.2022
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Subjects | |
Online Access | Get full text |
ISSN | 2210-6707 2210-6715 |
DOI | 10.1016/j.scs.2022.103709 |
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Abstract | •A generic microgrid decision support model is developed.•An efficient mechanism is developed to generate attack-resilient multi-carrier microgrids.•Critical physical assets are identified and reinforced against cyber-physical attacks.•Financial viability of multi-carrier microgrids is explored from various economic aspects.•The model aids investors in deciding whether or not to install multi-carrier microgrids.
Microgrids are inherently subject to a variety of cyber-physical threats due to potential vulnerabilities in their cyber systems. In this context, this paper introduces a cyber-attack-resilient design of a multi-carrier microgrid to avoid the loss of critical loads. The objective of the proposed model is to minimize the total planning cost of multi-carrier microgrids, which incorporates the investment and replacement costs of distributed energy resources, operation and maintenance costs, peak demand charges, emission costs, unserved energy costs, and potential reinforcement costs to handle cyber-physical attacks. Not only is the proposed multi-carrier microgrid planning approach able to determine the optimal size of multi-carrier microgrids, but it also identifies and reinforces the system to handle cyber-physical attacks by serving critical loads. The proposed multi-carrier microgrid planning model is formulated as a mixed-integer programming problem and solved using the GAMS 24.1 software. To evaluate the effectiveness of the proposed integrated resource planning model, it is applied to a real-world industrial park test-case system. Numerical simulations demonstrate the effectiveness of the resilience-oriented multi-carrier microgrid planning model. Importantly, the simulation results indicate the economic viability of multi-carrier microgrids optimized by the proposed model. Also, the model sensitivity of various decision variables has been analyzed. |
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AbstractList | •A generic microgrid decision support model is developed.•An efficient mechanism is developed to generate attack-resilient multi-carrier microgrids.•Critical physical assets are identified and reinforced against cyber-physical attacks.•Financial viability of multi-carrier microgrids is explored from various economic aspects.•The model aids investors in deciding whether or not to install multi-carrier microgrids.
Microgrids are inherently subject to a variety of cyber-physical threats due to potential vulnerabilities in their cyber systems. In this context, this paper introduces a cyber-attack-resilient design of a multi-carrier microgrid to avoid the loss of critical loads. The objective of the proposed model is to minimize the total planning cost of multi-carrier microgrids, which incorporates the investment and replacement costs of distributed energy resources, operation and maintenance costs, peak demand charges, emission costs, unserved energy costs, and potential reinforcement costs to handle cyber-physical attacks. Not only is the proposed multi-carrier microgrid planning approach able to determine the optimal size of multi-carrier microgrids, but it also identifies and reinforces the system to handle cyber-physical attacks by serving critical loads. The proposed multi-carrier microgrid planning model is formulated as a mixed-integer programming problem and solved using the GAMS 24.1 software. To evaluate the effectiveness of the proposed integrated resource planning model, it is applied to a real-world industrial park test-case system. Numerical simulations demonstrate the effectiveness of the resilience-oriented multi-carrier microgrid planning model. Importantly, the simulation results indicate the economic viability of multi-carrier microgrids optimized by the proposed model. Also, the model sensitivity of various decision variables has been analyzed. |
ArticleNumber | 103709 |
Author | Azimian, Mahdi Amir, Vahid Mohseni, Soheil Javadi, Saeid Brent, Alan C. |
Author_xml | – sequence: 1 givenname: Mahdi surname: Azimian fullname: Azimian, Mahdi email: mahdi.azimian1991@gmail.com organization: Department of Electrical and Computer Engineering, Kashan Branch, Islamic Azad University, Kashan, Iran – sequence: 2 givenname: Vahid surname: Amir fullname: Amir, Vahid email: v.amir@iaukashan.ac.ir organization: Department of Electrical and Computer Engineering, Kashan Branch, Islamic Azad University, Kashan, Iran – sequence: 3 givenname: Saeid surname: Javadi fullname: Javadi, Saeid organization: Department of Electrical and Computer Engineering, Kashan Branch, Islamic Azad University, Kashan, Iran – sequence: 4 givenname: Soheil surname: Mohseni fullname: Mohseni, Soheil organization: Sustainable Energy Systems, School of Engineering and Computer Science, Wellington Faculty of Engineering, Victoria University of Wellington, Wellington 6140, New Zealand – sequence: 5 givenname: Alan C. surname: Brent fullname: Brent, Alan C. organization: Sustainable Energy Systems, School of Engineering and Computer Science, Wellington Faculty of Engineering, Victoria University of Wellington, Wellington 6140, New Zealand |
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Cites_doi | 10.1016/j.apenergy.2017.12.040 10.1016/j.apenergy.2019.01.217 10.1049/iet-gtd.2018.6816 10.3390/en10122109 10.1016/j.apenergy.2020.115609 10.1016/j.apenergy.2019.114293 10.1016/j.jclepro.2019.05.005 10.1109/TPWRS.2017.2748060 10.1016/j.scs.2020.102384 10.1016/j.apenergy.2018.12.050 10.1109/TSG.2015.2397318 10.1109/TPWRS.2018.2879792 10.1109/TPWRS.2017.2769639 10.1016/j.ijepes.2020.106030 10.1109/TSG.2015.2469719 10.1109/TSTE.2017.2681111 10.1016/j.apenergy.2019.02.055 10.1016/j.rser.2020.110201 10.1109/TII.2017.2769656 10.1016/j.energy.2019.05.057 10.1016/j.apenergy.2019.114039 10.1016/j.ijepes.2014.03.038 10.1109/TSG.2018.2810310 10.3390/app9183855 10.1109/JSYST.2019.2901844 10.1063/1.5094426 10.1109/TSG.2018.2793311 10.1109/TSTE.2017.2724583 10.1016/j.scs.2018.01.016 10.1016/j.energy.2019.02.043 10.1016/j.enconman.2019.112105 10.1016/j.energy.2020.117284 10.1016/j.apenergy.2017.11.059 10.1016/j.energy.2019.04.152 10.1109/TSTE.2019.2921110 10.24295/CPSSTPEA.2018.00001 10.1016/j.rser.2020.110313 10.1109/ACCESS.2019.2922994 10.1016/j.energy.2018.06.198 10.1016/j.apenergy.2018.05.036 10.1016/j.apenergy.2019.114022 10.1016/j.apenergy.2019.114390 10.1016/j.rser.2020.109918 10.1016/j.energy.2019.04.105 10.1109/TSG.2017.2715074 10.1016/j.energy.2017.07.148 10.1109/TPWRS.2017.2768302 10.1016/j.apenergy.2020.115400 10.1108/COMPEL-07-2018-0276 10.1063/1.5066264 10.1016/j.renene.2020.05.154 10.1016/j.apenergy.2020.114726 10.1109/TIA.2019.2928495 10.1016/j.apenergy.2018.11.058 10.1016/j.segan.2019.100232 10.1016/j.apenergy.2019.114188 10.1109/TSG.2018.2803215 10.1016/j.epsr.2019.02.012 10.1016/j.apenergy.2019.113399 10.1016/j.apenergy.2020.115491 |
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References | Kiptoo, Adewuyi, Lotfy, Senjyu, Mandal, Abdel-Akher (bib0033) 2019; 9 Chen, Su, Kavousi-Fard, Skowronska, Mourelatos, Hu (bib0015) 2020 Rosales-Asensio, de Simón-Martín, Borge-Diez, Blanes-Peiró, Colmenar-Santos (bib0056) 2019; 172 Guelpa, Bischi, Verda, Chertkov, Lund (bib0022) 2019; 184 Wang, Rousis, Strbac (bib0063) 2020; 134 Meena, Yang, Zacharis (bib0042) 2019; 252 (bib0060) 2016 Mishra, Anderson, Miller, Boyer, Warren (bib0044) 2020; 264 Xie, Teng, Xu, Wang (bib0067) 2019; 7 Cheng, Zhang, Kirschen, Huang, Kang (bib0016) 2020; 261 Olsen, Zhang, Kang, Ortega-Vazquez, Kirschen (bib0051) 2018; 34 Khodaei (bib0032) 2017; 8 GAMS Development Corp. GAMS - Cutting edge modeling. GAMS (2018). Li, Shahidehpour, Aminifar, Alabdulwahab, Al-Turki (bib0035) 2017 Nagapurkar, Smith (bib0048) 2019; 229 Yuan, Illindala, Khalsa (bib0069) 2017; 8 Hussain, Bui, Kim (bib0026) 2019; 240 Li, Shahidehpour, Aminifar (bib0036) 2017 Wang, Yan, Marnay, Djilali, Dahlquist, Wu (bib0062) 2018; 210 Pazouki, Haghifam, Moser (bib0053) 2014; 61 Mohseni, Brent, Burmester (bib0045) 2019; 200 Wu, Ma, Huang, Fu, Balducci (bib0065) 2020; 198 Kumar, Suryakiran, Verma, Bhatti (bib0034) 2019; 178 ISO-NE. ISO new england - real-time maps and charts (2015).;2015. Barnes, Nagarajan, Yamangil, Bent, Backhaus (bib0011) 2019; 171 (accessed November 1, 2020). Jimada-Ojuolape, Teh (bib0029) 2020; 62 Amir, Jadid, Ehsan (bib0005) 2017; 10 Azimian, Amir, Haddadipour (bib0007) 2020; 7 Cagnano, De Tuglie, Microgrids (bib0012) 2020; 258 Wu, Wang, Ding, Wang, Li, Li (bib0066) 2019; 13 Amir, Jadid, Ehsan (bib0006) 2019; 38 Ehsan, Yang (bib0018) 2019; 235 Stevanoni, De Greve, Vallee, Deblecker (bib0059) 2019; 10 Bajwa, Mokhlis, Mekhilef, Mubin (bib0009) 2019; 11 Senemar, Seifi, Rastegar, Parvania (bib0058) 2020; 14 Amir, Azimian (bib0004) 2020; 260 (accessed February 25, 2020). Mansouri, Ahmarinejad, Ansarian, Javadi, Catalao (bib0040) 2020; 120 Pan, Gu, Wu, Lu, Lu (bib0052) 2019; 239 Azimian, Amir, Javadi (bib0008) 2020; 277 (accessed( )). Barani, Aghaei, Akbari, Niknam, Farahmand, Korpas (bib0010) 2019; 10 Molavi, Shi, Wu, Lim (bib0047) 2020; 258 Mashayekh, Stadler, Cardoso, Heleno, Madathil, Nagarajan (bib0041) 2018; 33 Adefarati, Bansal (bib0002) 2019; 236 U.S. Energy Information Administration November 2, 2020 RETScreen n.d. Wei, Zhang, Wang, Cao, Khan (bib0064) 2020; 260 Fioriti, Pintus, Lutzemberger, Poli (bib0019) 2020; 159 Hamad, Nassar, El-Saadany, Salama (bib0023) 2019; 10 Senemar, Rastegar, Dabbaghjamanesh, Hatziargyriou (bib0057) 2019; 11 Husein, Chung (bib0025) 2018; 225 Khayatian, Barati, Lim (bib0031) 2018; 33 Ma, Wu, Hao, Lee, Yan, Li (bib0038) 2018; 160 Prathapaneni, Detroja (bib0055) 2019; 19 Jacob, Banerjee, Ghosh (bib0028) 2018; 212 Mishra, Ghadi, Azizivahed, Li, Zhang (bib0043) 2021; 135 Kaviani, Hedman (bib0030) 2019 Venkataramanan, Srivastava, Hahn, Zonouz (bib0061) 2019; 55 Nejabatkhah (bib0049) 2018; 3 Alsaidan, Khodaei, Gao (bib0003) 2018; 33 Das, Munikoti, Natarajan, Srinivasan (bib0017) 2020; 130 Yang, Jiang, Cai, Yang, Liu (bib0068) 2020; 277 Chalil, Yamangil, Nagarajan, Barnes, Bent, Backhaus (bib0013) 2018; 9 Gazijahani, Salehi (bib0021) 2017; 14 Nojavan, Majidi, Esfetanaj (bib0050) 2017; 139 Lorestani, Gharehpetian, Nazari (bib0037) 2019; 178 Manshadi, Khodayar (bib0039) 2015; 6 Hanna, DIsfani, Haghi, Victor, Kleissl (bib0024) 2019; 11 Chen, Zhang, Li, Zhang, Liu, Zhao (bib0014) 2018; 9 Pecenak, Stadler, Mathiesen, Fahy, Kleissl (bib0054) 2020; 276 Mohseni, Moghaddas-Tafreshi (bib0046) 2018; 38 Barnes (10.1016/j.scs.2022.103709_bib0011) 2019; 171 Das (10.1016/j.scs.2022.103709_bib0017) 2020; 130 Cagnano (10.1016/j.scs.2022.103709_bib0012) 2020; 258 Yuan (10.1016/j.scs.2022.103709_bib0069) 2017; 8 Wu (10.1016/j.scs.2022.103709_bib0066) 2019; 13 Li (10.1016/j.scs.2022.103709_bib0036) 2017 Alsaidan (10.1016/j.scs.2022.103709_bib0003) 2018; 33 Jimada-Ojuolape (10.1016/j.scs.2022.103709_bib0029) 2020; 62 Mishra (10.1016/j.scs.2022.103709_bib0044) 2020; 264 Pan (10.1016/j.scs.2022.103709_bib0052) 2019; 239 Mohseni (10.1016/j.scs.2022.103709_bib0045) 2019; 200 Senemar (10.1016/j.scs.2022.103709_bib0057) 2019; 11 Adefarati (10.1016/j.scs.2022.103709_bib0002) 2019; 236 Kiptoo (10.1016/j.scs.2022.103709_bib0033) 2019; 9 Khayatian (10.1016/j.scs.2022.103709_bib0031) 2018; 33 Mishra (10.1016/j.scs.2022.103709_bib0043) 2021; 135 Wei (10.1016/j.scs.2022.103709_bib0064) 2020; 260 Kumar (10.1016/j.scs.2022.103709_bib0034) 2019; 178 Husein (10.1016/j.scs.2022.103709_bib0025) 2018; 225 Hanna (10.1016/j.scs.2022.103709_bib0024) 2019; 11 Li (10.1016/j.scs.2022.103709_bib0035) 2017 Wang (10.1016/j.scs.2022.103709_bib0063) 2020; 134 Guelpa (10.1016/j.scs.2022.103709_bib0022) 2019; 184 Mashayekh (10.1016/j.scs.2022.103709_bib0041) 2018; 33 10.1016/j.scs.2022.103709_bib0001 Meena (10.1016/j.scs.2022.103709_bib0042) 2019; 252 Rosales-Asensio (10.1016/j.scs.2022.103709_bib0056) 2019; 172 Khodaei (10.1016/j.scs.2022.103709_bib0032) 2017; 8 Ehsan (10.1016/j.scs.2022.103709_bib0018) 2019; 235 Hussain (10.1016/j.scs.2022.103709_bib0026) 2019; 240 Nejabatkhah (10.1016/j.scs.2022.103709_bib0049) 2018; 3 Wang (10.1016/j.scs.2022.103709_bib0062) 2018; 210 Azimian (10.1016/j.scs.2022.103709_bib0007) 2020; 7 Bajwa (10.1016/j.scs.2022.103709_bib0009) 2019; 11 Amir (10.1016/j.scs.2022.103709_bib0006) 2019; 38 Gazijahani (10.1016/j.scs.2022.103709_bib0021) 2017; 14 Azimian (10.1016/j.scs.2022.103709_bib0008) 2020; 277 Amir (10.1016/j.scs.2022.103709_bib0005) 2017; 10 Nojavan (10.1016/j.scs.2022.103709_bib0050) 2017; 139 Senemar (10.1016/j.scs.2022.103709_bib0058) 2020; 14 Kaviani (10.1016/j.scs.2022.103709_bib0030) 2019 Hamad (10.1016/j.scs.2022.103709_bib0023) 2019; 10 Prathapaneni (10.1016/j.scs.2022.103709_bib0055) 2019; 19 Pazouki (10.1016/j.scs.2022.103709_bib0053) 2014; 61 Chalil (10.1016/j.scs.2022.103709_bib0013) 2018; 9 Amir (10.1016/j.scs.2022.103709_bib0004) 2020; 260 Chen (10.1016/j.scs.2022.103709_bib0014) 2018; 9 Olsen (10.1016/j.scs.2022.103709_bib0051) 2018; 34 Stevanoni (10.1016/j.scs.2022.103709_bib0059) 2019; 10 Lorestani (10.1016/j.scs.2022.103709_bib0037) 2019; 178 10.1016/j.scs.2022.103709_bib0020 Mohseni (10.1016/j.scs.2022.103709_bib0046) 2018; 38 (10.1016/j.scs.2022.103709_bib0060) 2016 Nagapurkar (10.1016/j.scs.2022.103709_bib0048) 2019; 229 Pecenak (10.1016/j.scs.2022.103709_bib0054) 2020; 276 Chen (10.1016/j.scs.2022.103709_bib0015) 2020 Cheng (10.1016/j.scs.2022.103709_bib0016) 2020; 261 Ma (10.1016/j.scs.2022.103709_bib0038) 2018; 160 10.1016/j.scs.2022.103709_bib0027 Molavi (10.1016/j.scs.2022.103709_bib0047) 2020; 258 Mansouri (10.1016/j.scs.2022.103709_bib0040) 2020; 120 Venkataramanan (10.1016/j.scs.2022.103709_bib0061) 2019; 55 Fioriti (10.1016/j.scs.2022.103709_bib0019) 2020; 159 Xie (10.1016/j.scs.2022.103709_bib0067) 2019; 7 Barani (10.1016/j.scs.2022.103709_bib0010) 2019; 10 Manshadi (10.1016/j.scs.2022.103709_bib0039) 2015; 6 Wu (10.1016/j.scs.2022.103709_bib0065) 2020; 198 Yang (10.1016/j.scs.2022.103709_bib0068) 2020; 277 Jacob (10.1016/j.scs.2022.103709_bib0028) 2018; 212 |
References_xml | – volume: 61 start-page: 335 year: 2014 end-page: 345 ident: bib0053 article-title: Uncertainty modeling in optimal operation of energy hub in presence of wind, storage and demand response publication-title: International Journal of Electrical Power & Energy Systems – volume: 261 year: 2020 ident: bib0016 article-title: Planning multiple energy systems for low-carbon districts with high penetration of renewable energy: An empirical study in China publication-title: Applied Energy – volume: 139 start-page: 89 year: 2017 end-page: 97 ident: bib0050 article-title: An efficient cost-reliability optimization model for optimal siting and sizing of energy storage system in a microgrid in the presence of responsible load management publication-title: Energy – reference: (accessed( )). – volume: 130 year: 2020 ident: bib0017 article-title: Measuring smart grid resilience: Methods, challenges and opportunities publication-title: Renewable and Sustainable Energy Reviews – volume: 184 start-page: 2 year: 2019 end-page: 21 ident: bib0022 article-title: Towards future infrastructures for sustainable multi-energy systems: A review publication-title: Energy – volume: 9 start-page: 3855 year: 2019 ident: bib0033 article-title: Multi-objective optimal capacity planning for 100% renewable energy-based microgrid incorporating cost of demand-side flexibility management publication-title: Applied Sciences – volume: 11 year: 2019 ident: bib0009 article-title: Enhancing power system resilience leveraging microgrids: a review publication-title: Journal of Renewable and Sustainable Energy – volume: 210 start-page: 685 year: 2018 end-page: 689 ident: bib0062 article-title: Distributed energy and microgrids (DEM) publication-title: Applied Energy – volume: 172 start-page: 1005 year: 2019 end-page: 1015 ident: bib0056 article-title: Microgrids with energy storage systems as a means to increase power resilience: An application to office buildings publication-title: Energ – volume: 3 start-page: 3 year: 2018 end-page: 13 ident: bib0049 article-title: Optimal design and operation of a remote hybrid microgrid publication-title: CPSS Transactions on Power Electronics and Applications – reference: GAMS Development Corp. GAMS - Cutting edge modeling. GAMS (2018). – year: 2017 ident: bib0036 article-title: Cybersecurity in distributed power systems publication-title: Proceedings of the IEEE – volume: 240 start-page: 56 year: 2019 end-page: 72 ident: bib0026 article-title: Microgrids as a resilience resource and strategies used by microgrids for enhancing resilience publication-title: Applied Energy – volume: 13 start-page: 3534 year: 2019 end-page: 3548 ident: bib0066 article-title: Microgrid planning considering the resilience against contingencies publication-title: IET Generation, Transmission & Distribution – volume: 236 start-page: 1089 year: 2019 end-page: 1114 ident: bib0002 article-title: Reliability, economic and environmental analysis of a microgrid system in the presence of renewable energy resources publication-title: Applied Energy – volume: 33 start-page: 3634 year: 2018 end-page: 3643 ident: bib0031 article-title: Integrated microgrid expansion planning in electricity market with uncertainty publication-title: IEEE Transactions on Power Systems – volume: 11 start-page: 1236 year: 2019 end-page: 1246 ident: bib0057 article-title: Dynamic structural sizing of residential energy hubs publication-title: IEEE Transactions on Sustainable Energy – volume: 33 start-page: 3968 year: 2018 end-page: 3980 ident: bib0003 article-title: A comprehensive battery energy storage optimal sizing model for microgrid applications publication-title: IEEE Transactions on Power Systems – volume: 264 year: 2020 ident: bib0044 article-title: Microgrid resilience: A holistic approach for assessing threats, identifying vulnerabilities, and designing corresponding mitigation strategies publication-title: Applied Energy – volume: 171 start-page: 150 year: 2019 end-page: 157 ident: bib0011 article-title: Resilient design of large-scale distribution feeders with networked microgrids publication-title: Electric Power Systems Research – year: 2020 ident: bib0015 article-title: Resilient microgrid system design for disaster impact mitigation publication-title: Sustainable and Resilient Infrastructure – volume: 260 year: 2020 ident: bib0064 article-title: Multi-period planning of multi-energy microgrid with multi-type uncertainties using chance constrained information gap decision method publication-title: Applied Energy – year: 2017 ident: bib0035 article-title: Networked microgrids for enhancing the power system resilience publication-title: Proceedings of the IEEE – volume: 19 year: 2019 ident: bib0055 article-title: An integrated framework for optimal planning and operation schedule of microgrid under uncertainty publication-title: Sustain Energy, Grids Network – volume: 8 start-page: 1096 year: 2017 end-page: 1104 ident: bib0032 article-title: Provisional microgrid planning publication-title: IEEE Transactions on Smart Grid – volume: 178 start-page: 751 year: 2019 end-page: 764 ident: bib0037 article-title: Optimal sizing and techno-economic analysis of energy-and cost-efficient standalone multi-carrier microgrid publication-title: Energy – volume: 277 year: 2020 ident: bib0008 article-title: Economic and environmental policy analysis for emission-neutral multi-carrier microgrid deployment publication-title: Applied Energy – volume: 225 start-page: 273 year: 2018 end-page: 289 ident: bib0025 article-title: Optimal design and financial feasibility of a university campus microgrid considering renewable energy incentives publication-title: Applied Energy – volume: 159 start-page: 693 year: 2020 end-page: 704 ident: bib0019 article-title: Economic multi-objective approach to design off-grid microgrids: A support for business decision making publication-title: Renewable Energy – volume: 120 year: 2020 ident: bib0040 article-title: Stochastic planning and operation of energy hubs considering demand response programs using Benders decomposition approach publication-title: International Journal of Electrical Power & Energy Systems – volume: 277 year: 2020 ident: bib0068 article-title: Interval method based optimal planning of multi-energy microgrid with uncertain renewable generation and demand publication-title: Applied Energy – volume: 10 start-page: 2523 year: 2019 end-page: 2533 ident: bib0010 article-title: Optimal partitioning of smart distribution systems into supply-sufficient microgrids publication-title: IEEE Transactions on Smart Grid – volume: 7 start-page: 86336 year: 2019 end-page: 86348 ident: bib0067 article-title: Optimal energy storage sizing for networked microgrids considering reliability and resilience publication-title: IEEE Acces – volume: 11 year: 2019 ident: bib0024 article-title: Improving estimates for reliability and cost in microgrid investment planning models publication-title: Journal of Renewable and Sustainable Energy – volume: 258 year: 2020 ident: bib0047 article-title: Enabling smart ports through the integration of microgrids: A two-stage stochastic programming approach publication-title: Applied Energy – volume: 55 start-page: 6303 year: 2019 end-page: 6312 ident: bib0061 article-title: Measuring and enhancing microgrid resiliency against cyber threats publication-title: IEEE Transactions on Industry Applications – volume: 14 start-page: 3054 year: 2017 end-page: 3064 ident: bib0021 article-title: Optimal bi-level model for stochastic risk-based planning of microgrids under uncertainty publication-title: IEEE Transactions on Industrial Informatics – volume: 10 start-page: 2789 year: 2019 end-page: 2798 ident: bib0023 article-title: Optimal configuration of isolated hybrid AC/DC microgrids publication-title: IEEE Transactions on Smart Grid – reference: ISO-NE. ISO new england - real-time maps and charts (2015).;2015. – volume: 276 year: 2020 ident: bib0054 article-title: Robust design of microgrids using a hybrid minimum investment optimization publication-title: Applied Energy – volume: 252 year: 2019 ident: bib0042 article-title: Optimisation framework for the design and operation of open-market urban and remote community microgrids publication-title: Applied Energy – volume: 258 year: 2020 ident: bib0012 article-title: Overview and guidelines for practical implementations and operation publication-title: Applied Energy – volume: 38 start-page: 452 year: 2018 end-page: 465 ident: bib0046 article-title: A multi-agent system for optimal sizing of a cooperative self-sustainable multi-carrier microgrid publication-title: Sustainable Cities and Society – volume: 33 start-page: 2452 year: 2018 end-page: 2462 ident: bib0041 article-title: Security-constrained design of isolated multi-energy microgrids publication-title: IEEE Transactions on Power Systems – volume: 9 start-page: 6511 year: 2018 end-page: 6521 ident: bib0013 article-title: Resilient off-grid microgrids: capacity planning and N-1 security publication-title: IEEE Transactions on Smart Grid – year: 2019 ident: bib0030 article-title: A detection mechanism against load-redistribution attacks in smart grids publication-title: IEEE Transactions on Smart Grid – start-page: 1 year: 2016 ident: bib0060 article-title: Henry hub natural gas spot price (Dollars per Million Btu) publication-title: Eia – volume: 38 start-page: 724 year: 2019 end-page: 744 ident: bib0006 article-title: Operation of networked multi-carrier microgrid considering demand response publication-title: The International Journal for Computation and Mathematics in Electrical and Electronic Engineering – volume: 235 start-page: 1277 year: 2019 end-page: 1288 ident: bib0018 article-title: Scenario-based investment planning of isolated multi-energy microgrids considering electricity, heating and cooling demand publication-title: Applied Energy – volume: 62 year: 2020 ident: bib0029 article-title: Surveys on the reliability impacts of power system cyber–physical layers publication-title: Sustainable Cities and Society – volume: 135 year: 2021 ident: bib0043 article-title: A review on resilience studies in active distribution systems publication-title: Renewable and Sustainable Energy Reviews – volume: 198 year: 2020 ident: bib0065 article-title: Stochastic optimal sizing of distributed energy resources for a cost-effective and resilient Microgrid publication-title: Energy – volume: 260 year: 2020 ident: bib0004 article-title: Dynamic multi-carrier microgrid deployment under uncertainty publication-title: Applied Energy – volume: 178 start-page: 176 year: 2019 end-page: 185 ident: bib0034 article-title: Analysis of techno-economic viability with demand response strategy of a grid-connected microgrid model for enhanced rural electrification in Uttar Pradesh state, India publication-title: Energy – volume: 239 start-page: 280 year: 2019 end-page: 295 ident: bib0052 article-title: Optimal design and operation of multi-energy system with load aggregator considering nodal energy prices publication-title: Applied Energy – volume: 10 start-page: 2245 year: 2019 end-page: 2256 ident: bib0059 article-title: Long-term planning of connected industrial microgrids: A game theoretical approach including daily peer-to-microgrid exchanges publication-title: IEEE Transactions on Smart Grid – volume: 9 start-page: 237 year: 2018 end-page: 248 ident: bib0014 article-title: Optimal sizing for grid-tied microgrids with consideration of joint optimization of planning and operation publication-title: IEEE Transactions on Sustainable Energy – volume: 212 start-page: 640 year: 2018 end-page: 653 ident: bib0028 article-title: Sizing of hybrid energy storage system for a PV based microgrid through design space approach publication-title: Applied Energy – volume: 8 start-page: 1351 year: 2017 end-page: 1360 ident: bib0069 article-title: Co-optimization scheme for distributed energy resource planning in community microgrids publication-title: IEEE Transactions on Sustainable Energy – volume: 200 year: 2019 ident: bib0045 article-title: A demand response-centred approach to the long-term equipment capacity planning of grid-independent micro-grids optimized by the moth-flame optimization algorithm publication-title: Energy Conversion and Management – reference: U.S. Energy Information Administration November 2, 2020 RETScreen n.d. – reference: (accessed November 1, 2020). – volume: 160 start-page: 122 year: 2018 end-page: 141 ident: bib0038 article-title: The optimal structure planning and energy management strategies of smart multi energy systems publication-title: Energ – volume: 229 start-page: 552 year: 2019 end-page: 569 ident: bib0048 article-title: Techno-economic optimization and social costs assessment of microgrid-conventional grid integration using genetic algorithm and artificial neural networks: A case study for two US cities publication-title: Journal of Cleaner Production – volume: 14 start-page: 832 year: 2020 end-page: 841 ident: bib0058 article-title: Probabilistic optimal dynamic planning of onsite solar generation for residential energy hubs publication-title: IEEE Systems – volume: 7 start-page: 85 year: 2020 end-page: 100 ident: bib0007 article-title: Microgrid energy scheduling with demand response publication-title: Advances in Energy Research – reference: (accessed February 25, 2020). – volume: 6 start-page: 2283 year: 2015 end-page: 2292 ident: bib0039 article-title: Resilient operation of multiple energy carrier microgrids publication-title: IEEE Transactions on Smart Grid – volume: 34 start-page: 1895 year: 2018 end-page: 1907 ident: bib0051 article-title: Planning low-carbon campus energy hubs publication-title: IEEE Transactions on Power Systems – volume: 10 year: 2017 ident: bib0005 article-title: Optimal design of a multi-carrier microgrid (MCMG) considering net zero emission publication-title: Energies – volume: 134 year: 2020 ident: bib0063 article-title: On microgrids and resilience: A comprehensive review on modeling and operational strategies publication-title: Renewable and Sustainable Energy Reviews – volume: 212 start-page: 640 year: 2018 ident: 10.1016/j.scs.2022.103709_bib0028 article-title: Sizing of hybrid energy storage system for a PV based microgrid through design space approach publication-title: Applied Energy doi: 10.1016/j.apenergy.2017.12.040 – ident: 10.1016/j.scs.2022.103709_bib0020 – volume: 239 start-page: 280 year: 2019 ident: 10.1016/j.scs.2022.103709_bib0052 article-title: Optimal design and operation of multi-energy system with load aggregator considering nodal energy prices publication-title: Applied Energy doi: 10.1016/j.apenergy.2019.01.217 – volume: 13 start-page: 3534 year: 2019 ident: 10.1016/j.scs.2022.103709_bib0066 article-title: Microgrid planning considering the resilience against contingencies publication-title: IET Generation, Transmission & Distribution doi: 10.1049/iet-gtd.2018.6816 – volume: 10 year: 2017 ident: 10.1016/j.scs.2022.103709_bib0005 article-title: Optimal design of a multi-carrier microgrid (MCMG) considering net zero emission publication-title: Energies doi: 10.3390/en10122109 – ident: 10.1016/j.scs.2022.103709_bib0001 – volume: 277 year: 2020 ident: 10.1016/j.scs.2022.103709_bib0008 article-title: Economic and environmental policy analysis for emission-neutral multi-carrier microgrid deployment publication-title: Applied Energy doi: 10.1016/j.apenergy.2020.115609 – volume: 260 year: 2020 ident: 10.1016/j.scs.2022.103709_bib0004 article-title: Dynamic multi-carrier microgrid deployment under uncertainty publication-title: Applied Energy doi: 10.1016/j.apenergy.2019.114293 – start-page: 1 year: 2016 ident: 10.1016/j.scs.2022.103709_bib0060 article-title: Henry hub natural gas spot price (Dollars per Million Btu) publication-title: Eia – volume: 229 start-page: 552 year: 2019 ident: 10.1016/j.scs.2022.103709_bib0048 article-title: Techno-economic optimization and social costs assessment of microgrid-conventional grid integration using genetic algorithm and artificial neural networks: A case study for two US cities publication-title: Journal of Cleaner Production doi: 10.1016/j.jclepro.2019.05.005 – volume: 33 start-page: 2452 year: 2018 ident: 10.1016/j.scs.2022.103709_bib0041 article-title: Security-constrained design of isolated multi-energy microgrids publication-title: IEEE Transactions on Power Systems doi: 10.1109/TPWRS.2017.2748060 – volume: 62 year: 2020 ident: 10.1016/j.scs.2022.103709_bib0029 article-title: Surveys on the reliability impacts of power system cyber–physical layers publication-title: Sustainable Cities and Society doi: 10.1016/j.scs.2020.102384 – volume: 236 start-page: 1089 year: 2019 ident: 10.1016/j.scs.2022.103709_bib0002 article-title: Reliability, economic and environmental analysis of a microgrid system in the presence of renewable energy resources publication-title: Applied Energy doi: 10.1016/j.apenergy.2018.12.050 – volume: 6 start-page: 2283 year: 2015 ident: 10.1016/j.scs.2022.103709_bib0039 article-title: Resilient operation of multiple energy carrier microgrids publication-title: IEEE Transactions on Smart Grid doi: 10.1109/TSG.2015.2397318 – volume: 34 start-page: 1895 year: 2018 ident: 10.1016/j.scs.2022.103709_bib0051 article-title: Planning low-carbon campus energy hubs publication-title: IEEE Transactions on Power Systems doi: 10.1109/TPWRS.2018.2879792 – volume: 33 start-page: 3968 year: 2018 ident: 10.1016/j.scs.2022.103709_bib0003 article-title: A comprehensive battery energy storage optimal sizing model for microgrid applications publication-title: IEEE Transactions on Power Systems doi: 10.1109/TPWRS.2017.2769639 – volume: 120 year: 2020 ident: 10.1016/j.scs.2022.103709_bib0040 article-title: Stochastic planning and operation of energy hubs considering demand response programs using Benders decomposition approach publication-title: International Journal of Electrical Power & Energy Systems doi: 10.1016/j.ijepes.2020.106030 – volume: 8 start-page: 1096 year: 2017 ident: 10.1016/j.scs.2022.103709_bib0032 article-title: Provisional microgrid planning publication-title: IEEE Transactions on Smart Grid doi: 10.1109/TSG.2015.2469719 – volume: 8 start-page: 1351 year: 2017 ident: 10.1016/j.scs.2022.103709_bib0069 article-title: Co-optimization scheme for distributed energy resource planning in community microgrids publication-title: IEEE Transactions on Sustainable Energy doi: 10.1109/TSTE.2017.2681111 – volume: 240 start-page: 56 year: 2019 ident: 10.1016/j.scs.2022.103709_bib0026 article-title: Microgrids as a resilience resource and strategies used by microgrids for enhancing resilience publication-title: Applied Energy doi: 10.1016/j.apenergy.2019.02.055 – volume: 135 year: 2021 ident: 10.1016/j.scs.2022.103709_bib0043 article-title: A review on resilience studies in active distribution systems publication-title: Renewable and Sustainable Energy Reviews doi: 10.1016/j.rser.2020.110201 – volume: 14 start-page: 3054 year: 2017 ident: 10.1016/j.scs.2022.103709_bib0021 article-title: Optimal bi-level model for stochastic risk-based planning of microgrids under uncertainty publication-title: IEEE Transactions on Industrial Informatics doi: 10.1109/TII.2017.2769656 – volume: 184 start-page: 2 year: 2019 ident: 10.1016/j.scs.2022.103709_bib0022 article-title: Towards future infrastructures for sustainable multi-energy systems: A review publication-title: Energy doi: 10.1016/j.energy.2019.05.057 – ident: 10.1016/j.scs.2022.103709_bib0027 – volume: 258 year: 2020 ident: 10.1016/j.scs.2022.103709_bib0012 article-title: Overview and guidelines for practical implementations and operation publication-title: Applied Energy doi: 10.1016/j.apenergy.2019.114039 – volume: 61 start-page: 335 year: 2014 ident: 10.1016/j.scs.2022.103709_bib0053 article-title: Uncertainty modeling in optimal operation of energy hub in presence of wind, storage and demand response publication-title: International Journal of Electrical Power & Energy Systems doi: 10.1016/j.ijepes.2014.03.038 – volume: 10 start-page: 2789 year: 2019 ident: 10.1016/j.scs.2022.103709_bib0023 article-title: Optimal configuration of isolated hybrid AC/DC microgrids publication-title: IEEE Transactions on Smart Grid doi: 10.1109/TSG.2018.2810310 – volume: 9 start-page: 3855 year: 2019 ident: 10.1016/j.scs.2022.103709_bib0033 article-title: Multi-objective optimal capacity planning for 100% renewable energy-based microgrid incorporating cost of demand-side flexibility management publication-title: Applied Sciences doi: 10.3390/app9183855 – volume: 14 start-page: 832 year: 2020 ident: 10.1016/j.scs.2022.103709_bib0058 article-title: Probabilistic optimal dynamic planning of onsite solar generation for residential energy hubs publication-title: IEEE Systems doi: 10.1109/JSYST.2019.2901844 – volume: 11 year: 2019 ident: 10.1016/j.scs.2022.103709_bib0024 article-title: Improving estimates for reliability and cost in microgrid investment planning models publication-title: Journal of Renewable and Sustainable Energy doi: 10.1063/1.5094426 – volume: 10 start-page: 2245 year: 2019 ident: 10.1016/j.scs.2022.103709_bib0059 article-title: Long-term planning of connected industrial microgrids: A game theoretical approach including daily peer-to-microgrid exchanges publication-title: IEEE Transactions on Smart Grid doi: 10.1109/TSG.2018.2793311 – year: 2017 ident: 10.1016/j.scs.2022.103709_bib0036 article-title: Cybersecurity in distributed power systems publication-title: Proceedings of the IEEE – volume: 9 start-page: 237 year: 2018 ident: 10.1016/j.scs.2022.103709_bib0014 article-title: Optimal sizing for grid-tied microgrids with consideration of joint optimization of planning and operation publication-title: IEEE Transactions on Sustainable Energy doi: 10.1109/TSTE.2017.2724583 – volume: 38 start-page: 452 year: 2018 ident: 10.1016/j.scs.2022.103709_bib0046 article-title: A multi-agent system for optimal sizing of a cooperative self-sustainable multi-carrier microgrid publication-title: Sustainable Cities and Society doi: 10.1016/j.scs.2018.01.016 – volume: 172 start-page: 1005 year: 2019 ident: 10.1016/j.scs.2022.103709_bib0056 article-title: Microgrids with energy storage systems as a means to increase power resilience: An application to office buildings publication-title: Energ doi: 10.1016/j.energy.2019.02.043 – volume: 200 year: 2019 ident: 10.1016/j.scs.2022.103709_bib0045 article-title: A demand response-centred approach to the long-term equipment capacity planning of grid-independent micro-grids optimized by the moth-flame optimization algorithm publication-title: Energy Conversion and Management doi: 10.1016/j.enconman.2019.112105 – year: 2017 ident: 10.1016/j.scs.2022.103709_bib0035 article-title: Networked microgrids for enhancing the power system resilience publication-title: Proceedings of the IEEE – volume: 198 year: 2020 ident: 10.1016/j.scs.2022.103709_bib0065 article-title: Stochastic optimal sizing of distributed energy resources for a cost-effective and resilient Microgrid publication-title: Energy doi: 10.1016/j.energy.2020.117284 – volume: 210 start-page: 685 year: 2018 ident: 10.1016/j.scs.2022.103709_bib0062 article-title: Distributed energy and microgrids (DEM) publication-title: Applied Energy doi: 10.1016/j.apenergy.2017.11.059 – volume: 178 start-page: 751 year: 2019 ident: 10.1016/j.scs.2022.103709_bib0037 article-title: Optimal sizing and techno-economic analysis of energy-and cost-efficient standalone multi-carrier microgrid publication-title: Energy doi: 10.1016/j.energy.2019.04.152 – volume: 11 start-page: 1236 year: 2019 ident: 10.1016/j.scs.2022.103709_bib0057 article-title: Dynamic structural sizing of residential energy hubs publication-title: IEEE Transactions on Sustainable Energy doi: 10.1109/TSTE.2019.2921110 – volume: 3 start-page: 3 year: 2018 ident: 10.1016/j.scs.2022.103709_bib0049 article-title: Optimal design and operation of a remote hybrid microgrid publication-title: CPSS Transactions on Power Electronics and Applications doi: 10.24295/CPSSTPEA.2018.00001 – volume: 134 year: 2020 ident: 10.1016/j.scs.2022.103709_bib0063 article-title: On microgrids and resilience: A comprehensive review on modeling and operational strategies publication-title: Renewable and Sustainable Energy Reviews doi: 10.1016/j.rser.2020.110313 – volume: 7 start-page: 86336 year: 2019 ident: 10.1016/j.scs.2022.103709_bib0067 article-title: Optimal energy storage sizing for networked microgrids considering reliability and resilience publication-title: IEEE Acces doi: 10.1109/ACCESS.2019.2922994 – volume: 160 start-page: 122 year: 2018 ident: 10.1016/j.scs.2022.103709_bib0038 article-title: The optimal structure planning and energy management strategies of smart multi energy systems publication-title: Energ doi: 10.1016/j.energy.2018.06.198 – volume: 225 start-page: 273 year: 2018 ident: 10.1016/j.scs.2022.103709_bib0025 article-title: Optimal design and financial feasibility of a university campus microgrid considering renewable energy incentives publication-title: Applied Energy doi: 10.1016/j.apenergy.2018.05.036 – volume: 258 year: 2020 ident: 10.1016/j.scs.2022.103709_bib0047 article-title: Enabling smart ports through the integration of microgrids: A two-stage stochastic programming approach publication-title: Applied Energy doi: 10.1016/j.apenergy.2019.114022 – volume: 261 year: 2020 ident: 10.1016/j.scs.2022.103709_bib0016 article-title: Planning multiple energy systems for low-carbon districts with high penetration of renewable energy: An empirical study in China publication-title: Applied Energy doi: 10.1016/j.apenergy.2019.114390 – volume: 130 year: 2020 ident: 10.1016/j.scs.2022.103709_bib0017 article-title: Measuring smart grid resilience: Methods, challenges and opportunities publication-title: Renewable and Sustainable Energy Reviews doi: 10.1016/j.rser.2020.109918 – volume: 178 start-page: 176 year: 2019 ident: 10.1016/j.scs.2022.103709_bib0034 article-title: Analysis of techno-economic viability with demand response strategy of a grid-connected microgrid model for enhanced rural electrification in Uttar Pradesh state, India publication-title: Energy doi: 10.1016/j.energy.2019.04.105 – volume: 9 start-page: 6511 year: 2018 ident: 10.1016/j.scs.2022.103709_bib0013 article-title: Resilient off-grid microgrids: capacity planning and N-1 security publication-title: IEEE Transactions on Smart Grid doi: 10.1109/TSG.2017.2715074 – volume: 139 start-page: 89 year: 2017 ident: 10.1016/j.scs.2022.103709_bib0050 article-title: An efficient cost-reliability optimization model for optimal siting and sizing of energy storage system in a microgrid in the presence of responsible load management publication-title: Energy doi: 10.1016/j.energy.2017.07.148 – year: 2019 ident: 10.1016/j.scs.2022.103709_bib0030 article-title: A detection mechanism against load-redistribution attacks in smart grids publication-title: IEEE Transactions on Smart Grid – volume: 33 start-page: 3634 year: 2018 ident: 10.1016/j.scs.2022.103709_bib0031 article-title: Integrated microgrid expansion planning in electricity market with uncertainty publication-title: IEEE Transactions on Power Systems doi: 10.1109/TPWRS.2017.2768302 – volume: 276 year: 2020 ident: 10.1016/j.scs.2022.103709_bib0054 article-title: Robust design of microgrids using a hybrid minimum investment optimization publication-title: Applied Energy doi: 10.1016/j.apenergy.2020.115400 – volume: 38 start-page: 724 year: 2019 ident: 10.1016/j.scs.2022.103709_bib0006 article-title: Operation of networked multi-carrier microgrid considering demand response publication-title: The International Journal for Computation and Mathematics in Electrical and Electronic Engineering doi: 10.1108/COMPEL-07-2018-0276 – volume: 11 year: 2019 ident: 10.1016/j.scs.2022.103709_bib0009 article-title: Enhancing power system resilience leveraging microgrids: a review publication-title: Journal of Renewable and Sustainable Energy doi: 10.1063/1.5066264 – volume: 159 start-page: 693 year: 2020 ident: 10.1016/j.scs.2022.103709_bib0019 article-title: Economic multi-objective approach to design off-grid microgrids: A support for business decision making publication-title: Renewable Energy doi: 10.1016/j.renene.2020.05.154 – volume: 264 year: 2020 ident: 10.1016/j.scs.2022.103709_bib0044 article-title: Microgrid resilience: A holistic approach for assessing threats, identifying vulnerabilities, and designing corresponding mitigation strategies publication-title: Applied Energy doi: 10.1016/j.apenergy.2020.114726 – volume: 55 start-page: 6303 year: 2019 ident: 10.1016/j.scs.2022.103709_bib0061 article-title: Measuring and enhancing microgrid resiliency against cyber threats publication-title: IEEE Transactions on Industry Applications doi: 10.1109/TIA.2019.2928495 – year: 2020 ident: 10.1016/j.scs.2022.103709_bib0015 article-title: Resilient microgrid system design for disaster impact mitigation publication-title: Sustainable and Resilient Infrastructure – volume: 235 start-page: 1277 year: 2019 ident: 10.1016/j.scs.2022.103709_bib0018 article-title: Scenario-based investment planning of isolated multi-energy microgrids considering electricity, heating and cooling demand publication-title: Applied Energy doi: 10.1016/j.apenergy.2018.11.058 – volume: 19 year: 2019 ident: 10.1016/j.scs.2022.103709_bib0055 article-title: An integrated framework for optimal planning and operation schedule of microgrid under uncertainty publication-title: Sustain Energy, Grids Network doi: 10.1016/j.segan.2019.100232 – volume: 260 year: 2020 ident: 10.1016/j.scs.2022.103709_bib0064 article-title: Multi-period planning of multi-energy microgrid with multi-type uncertainties using chance constrained information gap decision method publication-title: Applied Energy doi: 10.1016/j.apenergy.2019.114188 – volume: 7 start-page: 85 year: 2020 ident: 10.1016/j.scs.2022.103709_bib0007 article-title: Microgrid energy scheduling with demand response publication-title: Advances in Energy Research – volume: 10 start-page: 2523 year: 2019 ident: 10.1016/j.scs.2022.103709_bib0010 article-title: Optimal partitioning of smart distribution systems into supply-sufficient microgrids publication-title: IEEE Transactions on Smart Grid doi: 10.1109/TSG.2018.2803215 – volume: 171 start-page: 150 year: 2019 ident: 10.1016/j.scs.2022.103709_bib0011 article-title: Resilient design of large-scale distribution feeders with networked microgrids publication-title: Electric Power Systems Research doi: 10.1016/j.epsr.2019.02.012 – volume: 252 year: 2019 ident: 10.1016/j.scs.2022.103709_bib0042 article-title: Optimisation framework for the design and operation of open-market urban and remote community microgrids publication-title: Applied Energy doi: 10.1016/j.apenergy.2019.113399 – volume: 277 year: 2020 ident: 10.1016/j.scs.2022.103709_bib0068 article-title: Interval method based optimal planning of multi-energy microgrid with uncertain renewable generation and demand publication-title: Applied Energy doi: 10.1016/j.apenergy.2020.115491 |
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Snippet | •A generic microgrid decision support model is developed.•An efficient mechanism is developed to generate attack-resilient multi-carrier microgrids.•Critical... |
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SubjectTerms | Cyber-attacks Distributed energy resources Economic analysis Multi-carrier microgrid Planning Resilience |
Title | Resilience-Oriented Planning of Multi-Carrier Microgrids under Cyber-Attacks |
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