Transmission Power System Modeling by Using Aggregated Distributed Generation Model Based on a TSO—DSO Data Exchange Scheme
By integrating distributed energy resources (DER, mostly renewable energy sources) in the depth of the distribution network transmission system operators (TSOs), planning and control of transmission systems has been greatly hindered due to the lack of knowledge about the circumstances at the transmi...
Saved in:
| Published in | Energies (Basel) Vol. 13; no. 15; p. 3949 |
|---|---|
| Main Authors | , , , |
| Format | Journal Article |
| Language | English |
| Published |
MDPI AG
01.08.2020
|
| Subjects | |
| Online Access | Get full text |
Cover
Loading…
| Abstract | By integrating distributed energy resources (DER, mostly renewable energy sources) in the depth of the distribution network transmission system operators (TSOs), planning and control of transmission systems has been greatly hindered due to the lack of knowledge about the circumstances at the transmission and distribution network’s interface and the lack of coordination with the distribution system operator (DSO). By adopting the Commission Regulation (EU) 2017/1485 (System Operational Guideline—SOGL) establishing a guideline on electricity transmission system operation, harmonized rules on system operation for TSOs, DSOs and significant grid users (SGUs) are set out, inter alia, in order to provide a clear legal framework for the exchange of necessary data and information between the aforementioned subjects. In this paper, the methodology of DER representation at the interface of the transmission and distributed system is presented, with the indicated interactive data exchange between TSO and DSO, for running and analyzing the operation of the entire power system (PS) in real and extended real time. The proposed methodology was tested on a real model of the Croatian transmission PS and with representative DER in the depth of the distribution network. |
|---|---|
| AbstractList | By integrating distributed energy resources (DER, mostly renewable energy sources) in the depth of the distribution network transmission system operators (TSOs), planning and control of transmission systems has been greatly hindered due to the lack of knowledge about the circumstances at the transmission and distribution network’s interface and the lack of coordination with the distribution system operator (DSO). By adopting the Commission Regulation (EU) 2017/1485 (System Operational Guideline—SOGL) establishing a guideline on electricity transmission system operation, harmonized rules on system operation for TSOs, DSOs and significant grid users (SGUs) are set out, inter alia, in order to provide a clear legal framework for the exchange of necessary data and information between the aforementioned subjects. In this paper, the methodology of DER representation at the interface of the transmission and distributed system is presented, with the indicated interactive data exchange between TSO and DSO, for running and analyzing the operation of the entire power system (PS) in real and extended real time. The proposed methodology was tested on a real model of the Croatian transmission PS and with representative DER in the depth of the distribution network. |
| Author | Bazina, Mario Rubesa, Renata Mutapčić, Ahmed Skok, Srđan |
| Author_xml | – sequence: 1 givenname: Srđan surname: Skok fullname: Skok, Srđan – sequence: 2 givenname: Ahmed surname: Mutapčić fullname: Mutapčić, Ahmed – sequence: 3 givenname: Renata surname: Rubesa fullname: Rubesa, Renata – sequence: 4 givenname: Mario surname: Bazina fullname: Bazina, Mario |
| BookMark | eNptkcFOGzEQhq0KpFLKpU_gc6UUe2fjXR8poQEpVSolnFdje7wYJbuVbQQ5VOIheEKehE1SlQoxl_ln9P_fYeYTO-j6jhj7IsU3AC1OqZMgx6BL_YEdSa3VSIoKDv7TH9lJSrdiKAAJAEfszzJil9YhpdB3_Fd_T5EvNinTmv_sHa1C13Kz4ddpK87aNlKLmRyfhJRjMHdbPaWOIuYtYJfh3zEN62FEvlzMnx-fJos5n2BGfvFgb7BriS_sDa3pMzv0uEp08rcfs-sfF8vzy9FsPr06P5uNbKGrPPKqGmujKie1MHXhFdRQF04ZjVJQqUzlrS-M0KgcCBw7UpUsC-OqWmiiCo7Z1Z7rerxtfsewxrhpegzNbtHHtsGYg11RYwmQwJLwBsuiVLUzpS6Nl8IZkF4MrK97lo19SpH8P54UzfYPzesfBrN4Y7Yh706VI4bVe5EXIRiN9g |
| CitedBy_id | crossref_primary_10_3390_en16062814 crossref_primary_10_1109_TSG_2022_3206092 crossref_primary_10_3390_en15197312 |
| Cites_doi | 10.1016/j.ijepes.2017.05.005 10.1016/j.energy.2017.01.006 10.1016/j.epsr.2016.08.038 10.1016/j.energy.2015.11.050 10.1109/ICCEP.2019.8890115 10.1109/ISAP.2009.5352933 10.1109/ISGTEurope.2011.6162710 10.1109/EEEIC.2016.7555616 10.1016/j.enconman.2015.03.018 10.1016/j.enpol.2016.10.029 10.1109/TSG.2017.2686873 10.1016/j.enconman.2015.04.042 10.3390/app9173586 10.1016/j.eneco.2016.12.008 10.1016/j.ijepes.2018.05.008 10.1109/TPWRS.2017.2734942 10.1016/j.rser.2018.02.007 10.1016/j.rser.2016.11.167 10.3390/en12234500 10.1016/j.enconman.2009.06.002 10.1016/j.epsr.2017.01.004 10.1007/s00291-015-0395-x 10.1016/j.techfore.2019.01.006 |
| ContentType | Journal Article |
| DBID | AAYXX CITATION DOA |
| DOI | 10.3390/en13153949 |
| DatabaseName | CrossRef DOAJ Directory of Open Access Journals |
| DatabaseTitle | CrossRef |
| DatabaseTitleList | CrossRef |
| Database_xml | – sequence: 1 dbid: DOA name: DOAJ Directory of Open Access Journals url: https://www.doaj.org/ sourceTypes: Open Website |
| DeliveryMethod | fulltext_linktorsrc |
| Discipline | Engineering |
| EISSN | 1996-1073 |
| ExternalDocumentID | oai_doaj_org_article_ce3ae3ce0fba42468db494bf10db31f0 10_3390_en13153949 |
| GroupedDBID | 29G 2WC 5GY 5VS 7XC 8FE 8FG 8FH AADQD AAHBH AAYXX ABDBF ACUHS ADBBV ADMLS AENEX AFKRA AFZYC ALMA_UNASSIGNED_HOLDINGS BCNDV BENPR CCPQU CITATION CS3 DU5 EBS ESX FRP GROUPED_DOAJ GX1 I-F IAO KQ8 L6V L8X MODMG M~E OK1 OVT P2P PHGZM PHGZT PIMPY PROAC TR2 TUS PUEGO |
| ID | FETCH-LOGICAL-c297t-f6759b67d190b82f638382d6b9a10e46b7fcf2b09a6d30a5de67142bd7809ee73 |
| IEDL.DBID | DOA |
| ISSN | 1996-1073 |
| IngestDate | Wed Aug 27 01:32:16 EDT 2025 Tue Jul 01 04:21:41 EDT 2025 Thu Apr 24 23:07:28 EDT 2025 |
| IsDoiOpenAccess | true |
| IsOpenAccess | true |
| IsPeerReviewed | true |
| IsScholarly | true |
| Issue | 15 |
| Language | English |
| License | https://creativecommons.org/licenses/by/4.0 |
| LinkModel | DirectLink |
| MergedId | FETCHMERGED-LOGICAL-c297t-f6759b67d190b82f638382d6b9a10e46b7fcf2b09a6d30a5de67142bd7809ee73 |
| OpenAccessLink | https://doaj.org/article/ce3ae3ce0fba42468db494bf10db31f0 |
| ParticipantIDs | doaj_primary_oai_doaj_org_article_ce3ae3ce0fba42468db494bf10db31f0 crossref_primary_10_3390_en13153949 crossref_citationtrail_10_3390_en13153949 |
| ProviderPackageCode | CITATION AAYXX |
| PublicationCentury | 2000 |
| PublicationDate | 2020-08-01 |
| PublicationDateYYYYMMDD | 2020-08-01 |
| PublicationDate_xml | – month: 08 year: 2020 text: 2020-08-01 day: 01 |
| PublicationDecade | 2020 |
| PublicationTitle | Energies (Basel) |
| PublicationYear | 2020 |
| Publisher | MDPI AG |
| Publisher_xml | – name: MDPI AG |
| References | Skok (ref_26) 2016; 23 Lakshmanan (ref_15) 2016; 94 Skok (ref_27) 2016; 7 Wozabal (ref_3) 2016; 38 Bhattarai (ref_23) 2017; 92 ref_12 ref_11 Skok (ref_25) 2018; 103 Bel (ref_16) 2009; 50 Badri (ref_10) 2017; 121 Notton (ref_2) 2018; 87 Mahmoudi (ref_13) 2017; 143 Othman (ref_9) 2017; 145 Santos (ref_14) 2015; 99 Nick (ref_22) 2018; 33 ref_20 Paterakis (ref_18) 2017; 69 Grossi (ref_1) 2019; 141 Liu (ref_19) 2017; 100 Bruckner (ref_8) 2017; 62 Bhattarai (ref_24) 2018; 9 ref_5 Hong (ref_21) 2019; 9 ref_4 ref_7 ref_6 Morais (ref_17) 2015; 97 |
| References_xml | – volume: 92 start-page: 193 year: 2017 ident: ref_23 article-title: Optimum aggregation of geographically distributed flexible resources in strategic smart-grid/microgrid locations publication-title: Int. J. Electr. Power Energy Syst. doi: 10.1016/j.ijepes.2017.05.005 – volume: 121 start-page: 114 year: 2017 ident: ref_10 article-title: Day-ahead scheduling of virtual power plant in joint energy and regulation reserve markets under uncertainties publication-title: Energy doi: 10.1016/j.energy.2017.01.006 – volume: 143 start-page: 121 year: 2017 ident: ref_13 article-title: A bottom-up approach for demand response aggregators’ participation in electricity markets publication-title: Electr. Power Syst. Res. doi: 10.1016/j.epsr.2016.08.038 – volume: 94 start-page: 705 year: 2016 ident: ref_15 article-title: Impact of thermostatically controlled loads’ demand response activation on aggregated power: A field experiment publication-title: Energy doi: 10.1016/j.energy.2015.11.050 – ident: ref_7 doi: 10.1109/ICCEP.2019.8890115 – ident: ref_11 doi: 10.1109/ISAP.2009.5352933 – ident: ref_6 doi: 10.1109/ISGTEurope.2011.6162710 – volume: 23 start-page: 1517 year: 2016 ident: ref_26 article-title: Real time power swing monitoring in hydro power plant supported by synchronized measurements publication-title: Tech. Gaz. – ident: ref_5 doi: 10.1109/EEEIC.2016.7555616 – volume: 97 start-page: 78 year: 2015 ident: ref_17 article-title: Distributed energy resources management using plug-in hybrid electric vehicles as a fuel-shifting demand response resource publication-title: Energy Convers. Manag. doi: 10.1016/j.enconman.2015.03.018 – volume: 100 start-page: 271 year: 2017 ident: ref_19 article-title: Demand response and energy efficiency in the capacity resource procurement: Case studies of forward capacity markets in ISO New England, PJM and Great Britain publication-title: Energy Policy doi: 10.1016/j.enpol.2016.10.029 – volume: 9 start-page: 5311 year: 2018 ident: ref_24 article-title: Optimum aggregation and control of spatially distributed flexible resources in smart grid publication-title: IEEE Trans. Smart Grid doi: 10.1109/TSG.2017.2686873 – volume: 99 start-page: 387 year: 2015 ident: ref_14 article-title: Multi-agent simulation of competitive electricity markets: Autonomous systems cooperation for European market modeling publication-title: Energy Convers. Manag. doi: 10.1016/j.enconman.2015.04.042 – volume: 9 start-page: 3586 year: 2019 ident: ref_21 article-title: A distributed energy resources aggregation model based on multi-scenario and multi-objective methodology publication-title: Appl. Sci. doi: 10.3390/app9173586 – volume: 62 start-page: 125 year: 2017 ident: ref_8 article-title: Economic assessment of virtual power plants in the German energy market—A scenario-based and model-supported analysis publication-title: Energy Econ. doi: 10.1016/j.eneco.2016.12.008 – volume: 103 start-page: 302 year: 2018 ident: ref_25 article-title: Two layer hydropower plant dynamic mathematical modeling using synchronized measurements publication-title: Int. J.Electr. Power Energy Syst. doi: 10.1016/j.ijepes.2018.05.008 – volume: 7 start-page: 61 year: 2016 ident: ref_27 article-title: A State Estimator Using SCADA and Synchronized Phasor Measurements publication-title: Int. J. Electr. Comput. Eng. Syst. – ident: ref_4 – ident: ref_12 – volume: 33 start-page: 1577 year: 2018 ident: ref_22 article-title: Optimal planning of distributed energy storage systems in active distribution networks embedding grid reconfiguration publication-title: IEEE Trans. Power Syst. doi: 10.1109/TPWRS.2017.2734942 – volume: 87 start-page: 96 year: 2018 ident: ref_2 article-title: Intermittent and stochastic character of renewable energy sources: Consequences, cost of intermittence and benefit of forecasting publication-title: Renew. Sustain. Energy Rev. doi: 10.1016/j.rser.2018.02.007 – volume: 69 start-page: 871 year: 2017 ident: ref_18 article-title: An overview of Demand Response: Key-elements and international experience publication-title: Renew. Sustain. Energy Rev. doi: 10.1016/j.rser.2016.11.167 – ident: ref_20 doi: 10.3390/en12234500 – volume: 50 start-page: 2605 year: 2009 ident: ref_16 article-title: Technical and economical tools to assess customer demand response in the commercial sector publication-title: Energy Convers. Manag. doi: 10.1016/j.enconman.2009.06.002 – volume: 145 start-page: 157 year: 2017 ident: ref_9 article-title: Electrical energy management in unbalanced distribution networks using virtual power plant concept publication-title: Electr. Power Syst. Res. doi: 10.1016/j.epsr.2017.01.004 – volume: 38 start-page: 687 year: 2016 ident: ref_3 article-title: The effect of intermittent renewables on the electricity price variance publication-title: OR Spectr. doi: 10.1007/s00291-015-0395-x – volume: 141 start-page: 305 year: 2019 ident: ref_1 article-title: Robust forecasting of electricity prices: Simulations, models and the impact of renewable sources publication-title: Technol. Forecast. Soc. Chang. doi: 10.1016/j.techfore.2019.01.006 |
| SSID | ssj0000331333 |
| Score | 2.2453752 |
| Snippet | By integrating distributed energy resources (DER, mostly renewable energy sources) in the depth of the distribution network transmission system operators... |
| SourceID | doaj crossref |
| SourceType | Open Website Enrichment Source Index Database |
| StartPage | 3949 |
| SubjectTerms | aggregated power plant distributed generation power system stability smart power transmission system transmission system modeling transmission system resilience |
| Title | Transmission Power System Modeling by Using Aggregated Distributed Generation Model Based on a TSO—DSO Data Exchange Scheme |
| URI | https://doaj.org/article/ce3ae3ce0fba42468db494bf10db31f0 |
| Volume | 13 |
| hasFullText | 1 |
| inHoldings | 1 |
| isFullTextHit | |
| isPrint | |
| link | http://utb.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwrV3NSgMxEA7Skx7EX6x_BPTiYWk2STebo9rWImiFttDbkmwSL1pFKuhB8CF8Qp_EmU2texC8eFl2l9llmZlk5stmviHkWHpwWq5MUjLXTqR1Islz7RIrPFOBt42WWCh8dZ31x_Jy0p7UWn3hnrBIDxwV1yq9MF6UngVrJJdZ7qzU0oaUOSvSUKF1iHk1MFXNwUIA-BKRj1QArm_5aSpgdGskzaxFoBpRfxVRemtkdZ4K0tP4CetkyU83yEqNIHCTvFWhBEyBa1r0Bjua0cgxTrGJGZaSU_tKq__-9PQWsDOuijnaQTpc7GQF55FYGvUfn6FnELgchUtDR8PB5_tHZzigHTMztPsS64DpEEx577fIuNcdnfeTecOEpORazZIA2b-2mXIQ5W3OA4wtkXOXWW1S5mVmVSgDt0ybzAlm2s5nKpXcOpUz7b0S26QxfZj6HUIxl0qZttIELVVgWvkgnDcwJ2VMOdYkJ99KLMo5mzg2tbgrAFWgwosfhTfJ0UL2MXJo_Cp1hrZYSCDvdXUDvKGYe0Pxlzfs_sdL9sgyR1RdbfPbJ43Z07M_gNRjZg8rL4PjxST9AnJ92qI |
| linkProvider | Directory of Open Access Journals |
| openUrl | ctx_ver=Z39.88-2004&ctx_enc=info%3Aofi%2Fenc%3AUTF-8&rfr_id=info%3Asid%2Fsummon.serialssolutions.com&rft_val_fmt=info%3Aofi%2Ffmt%3Akev%3Amtx%3Ajournal&rft.genre=article&rft.atitle=Transmission+Power+System+Modeling+by+Using+Aggregated+Distributed+Generation+Model+Based+on+a+TSO%E2%80%94DSO+Data+Exchange+Scheme&rft.jtitle=Energies+%28Basel%29&rft.au=Skok%2C+Sr%C4%91an&rft.au=Mutap%C4%8Di%C4%87%2C+Ahmed&rft.au=Rubesa%2C+Renata&rft.au=Bazina%2C+Mario&rft.date=2020-08-01&rft.issn=1996-1073&rft.eissn=1996-1073&rft.volume=13&rft.issue=15&rft.spage=3949&rft_id=info:doi/10.3390%2Fen13153949&rft.externalDBID=n%2Fa&rft.externalDocID=10_3390_en13153949 |
| thumbnail_l | http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/lc.gif&issn=1996-1073&client=summon |
| thumbnail_m | http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/mc.gif&issn=1996-1073&client=summon |
| thumbnail_s | http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/sc.gif&issn=1996-1073&client=summon |