Study on the Operation Analysis of a Compound Energy System Using Orthogonal Array-GA Hybrid Analyzing Method
Integrating distributed energy resources can reduce power transmission losses, improve the efficacy of waste heat usage, and utilize green energy. To promote the spread of green energy, improve the method of supplying energy in times of disaster, and utilize waste heat more efficiently, a distribute...
Saved in:
| Published in | Nihon Kikai Gakkai rombunshuu. B hen Vol. 77; no. 782; pp. 2004 - 2018 |
|---|---|
| Main Authors | , |
| Format | Journal Article |
| Language | Japanese |
| Published |
The Japan Society of Mechanical Engineers
2011
|
| Subjects | |
| Online Access | Get full text |
| ISSN | 0387-5016 1884-8346 |
| DOI | 10.1299/kikaib.77.2004 |
Cover
| Abstract | Integrating distributed energy resources can reduce power transmission losses, improve the efficacy of waste heat usage, and utilize green energy. To promote the spread of green energy, improve the method of supplying energy in times of disaster, and utilize waste heat more efficiently, a distributed energy system using a microgrid was examined in this study. Generally, the output characteristics of the power sources using a microgrid are nonlinear. Furthermore, because multiple power sources are used in microgrids, many variables must be considered to optimize the system. Although the operation of energy systems has been optimized before, nonlinear problems with many variables have only been approximated by linear formulas with mixed-integer-programming. Furthermore, in this study, a method of searching for the optimal solution with a genetic algorithm (GA) is also reported. Any method for obtaining the optimal solution will require a longer time if the number of variables is increased or a higher accuracy is required in the analysis. Otherwise, only quasi-optimal solutions and unsatisfactory solutions of the energy balance equations are obtained. Therefore, orthogonal arrays are employed in this paper to reduce the complexity of the problem to plan the optimal operation method of a compound energy system. The operation range of the system that is considered to include the optimal operation method is limited to narrow range with an orthogonal array. Next, a solution for the optimal operation is obtained within the range obtained by the factor-effect figure using a GA. An example is given in this paper to explain the GA-orthogonal array hybrid analyzing method. The proposed analysis method can be utilized to improve the design parameters and the accuracy of the performance analysis. |
|---|---|
| AbstractList | Integrating distributed energy resources can reduce power transmission losses, improve the efficacy of waste heat usage, and utilize green energy. To promote the spread of green energy, improve the method of supplying energy in times of disaster, and utilize waste heat more efficiently, a distributed energy system using a microgrid was examined in this study. Generally, the output characteristics of the power sources using a microgrid are nonlinear. Furthermore, because multiple power sources are used in microgrids, many variables must be considered to optimize the system. Although the operation of energy systems has been optimized before, nonlinear problems with many variables have only been approximated by linear formulas with mixed-integer-programming. Furthermore, in this study, a method of searching for the optimal solution with a genetic algorithm (GA) is also reported. Any method for obtaining the optimal solution will require a longer time if the number of variables is increased or a higher accuracy is required in the analysis. Otherwise, only quasi-optimal solutions and unsatisfactory solutions of the energy balance equations are obtained. Therefore, orthogonal arrays are employed in this paper to reduce the complexity of the problem to plan the optimal operation method of a compound energy system. The operation range of the system that is considered to include the optimal operation method is limited to narrow range with an orthogonal array. Next, a solution for the optimal operation is obtained within the range obtained by the factor-effect figure using a GA. An example is given in this paper to explain the GA-orthogonal array hybrid analyzing method. The proposed analysis method can be utilized to improve the design parameters and the accuracy of the performance analysis. |
| Author | WATANABE, Seizi OBARA, Shin'ya |
| Author_xml | – sequence: 1 fullname: WATANABE, Seizi – sequence: 1 fullname: OBARA, Shin'ya organization: Kitami Institute of Technology, Power Engineering Lab., Dep. of Electrical and Electronic Engineering |
| BookMark | eNp1kM9LwzAYhoNMcM5dPecfaM2vtumxjLkJkx02zyVNky6ua0eSHepfb2t1iODp5YPneT9478GkaRsFwCNGISZp-nQ0R2GKMElCghC7AVPMOQs4ZfEETBHlSRAhHN-BuXOmQCiOKaMsmoLTzl_KDrYN9AcFt2dlhTf9lTWi7pxxsNVQwEV7OreXpoTLRtmqg7vOeXWCb840Fdxaf2irthdgZq3oglUG111hTTm2fAzQq-qh8gHcalE7Nf_OGdg_L_eLdbDZrl4W2SaQFEcsEFoRFKeSacI0x5zEUUJKHZG0iNJISC0ETSOUlqUUPEaEa0QLqROMKcOI0RkIx1ppW-es0vnZmpOwXY5RPsyVj3PlSZIPc_UC-yNI47-G8FaY-n9tNWrvzotKXb8I642s1S884eQnBvNKyIOwuWroJ8VSjGk |
| CitedBy_id | crossref_primary_10_1299_mej_16_00113 |
| Cites_doi | 10.1016/S0360-3199(02)00160-X 10.1016/j.ijhydene.2008.05.108 10.1016/j.rser.2007.06.004 10.1016/S0360-3199(02)00069-1 10.1002/er.1223 10.1016/j.enpol.2009.03.025 10.1016/j.epsr.2008.12.002 10.1016/j.ijhydene.2009.11.044 |
| ContentType | Journal Article |
| Copyright | 2011 The Japan Society of Mechanical Engineers |
| Copyright_xml | – notice: 2011 The Japan Society of Mechanical Engineers |
| DBID | AAYXX CITATION |
| DOI | 10.1299/kikaib.77.2004 |
| DatabaseName | CrossRef |
| DatabaseTitle | CrossRef |
| DatabaseTitleList | |
| DeliveryMethod | fulltext_linktorsrc |
| Discipline | Engineering |
| EISSN | 1884-8346 |
| EndPage | 2018 |
| ExternalDocumentID | 10_1299_kikaib_77_2004 article_kikaib_77_782_77_782_2004_article_char_en |
| GroupedDBID | ALMA_UNASSIGNED_HOLDINGS JSF KQ8 OK1 RJT AAYXX CITATION |
| ID | FETCH-LOGICAL-c3154-afe2069c4f24f81826572df529b595acfaa39509ddca86028f03bcf711341043 |
| ISSN | 0387-5016 |
| IngestDate | Thu Apr 24 23:09:08 EDT 2025 Tue Jul 01 03:34:15 EDT 2025 Wed Sep 03 06:30:43 EDT 2025 |
| IsDoiOpenAccess | true |
| IsOpenAccess | true |
| IsPeerReviewed | false |
| IsScholarly | true |
| Issue | 782 |
| Language | Japanese |
| LinkModel | OpenURL |
| MergedId | FETCHMERGED-LOGICAL-c3154-afe2069c4f24f81826572df529b595acfaa39509ddca86028f03bcf711341043 |
| OpenAccessLink | https://www.jstage.jst.go.jp/article/kikaib/77/782/77_782_2004/_article/-char/en |
| PageCount | 15 |
| ParticipantIDs | crossref_primary_10_1299_kikaib_77_2004 crossref_citationtrail_10_1299_kikaib_77_2004 jstage_primary_article_kikaib_77_782_77_782_2004_article_char_en |
| ProviderPackageCode | CITATION AAYXX |
| PublicationCentury | 2000 |
| PublicationDate | 2011 2011-00-00 |
| PublicationDateYYYYMMDD | 2011-01-01 |
| PublicationDate_xml | – year: 2011 text: 2011 |
| PublicationDecade | 2010 |
| PublicationTitle | Nihon Kikai Gakkai rombunshuu. B hen |
| PublicationTitleAlternate | Trans.JSME, B |
| PublicationYear | 2011 |
| Publisher | The Japan Society of Mechanical Engineers |
| Publisher_xml | – name: The Japan Society of Mechanical Engineers |
| References | (4) Nirmal-Kumar C. Nair, Lixi Zhang, SmartGrid: Future networks for New Zealand power systems incorporating distributed generation, Energy Policy, Vol. 37, No. 9(2009), pp.3418-3427. (6) Ryan Hledik, How Green Is the Smart Grid?, The Electricity Journal, Vol. 22, No. 3(2009), pp.29-41. (16) K. Narita, The Research on unused energy of the cold region city and utilization for the district heat and cooling, Ph. D. thesis, Hokkaido University, Sapporo, (1996). (15) S. H. Chan, H. K. Ho, Y. Tian, Multi-level modeling of SOFC-gas turbine hybrid system, Int J Hydrogen Energy, Vol. 28, No. 8(2003), pp.889-900. (1) Afzal S. Siddiqui, Chris Marnay, Distributed generation investment by a microgrid under uncertainty, Energy, Vol. 33, No.12(2008), pp.1729-1737. (10) Li-jun Wang, Man-lou He, Zhen-zhong Yang, Research on optimal calibration technology for hydrogen-fueled engine based on nonlinear programming theory, Int J Hydrogen Energy, Vol. 35, No. 7(2010), pp.2747-2753. (13) Roberto C Dante, José L Escamilla, Vicente Madrigal, Thomas Theuss, Juan de Dios Calderón, Omar Solorza, Rubén Rivera, Fractional factorial design of experiments for PEM fuel cell performances improvement, Int J Hydrogen Energy, Vol. 28, No. 3(2003), pp.343-348. (8) Zhenzhong Yang, Lijun Wang, Shilei Li, Investigation into the optimization control technique of hydrogen-fueled engines based on genetic algorithms, Int J Hydrogen Energy, Vol. 33, No. 22(2008), pp.6780-6791. (9) Garyfallos Giannakoudis, Athanasios I. Papadopoulos, Panos Seferlis, Spyros Voutetakis, Optimum design and operation under uncertainty of power systems using renewable energy sources and hydrogen storage, Int J Hydrogen Energy, Vol. 35, No. 3(2010), pp.872-891. (17) NEDO Technical information database, Standard meteorology and Solar radiation data (METPV-3), http://www.nedo.co.jp, (2011.4.10). (14) Genichi Taguchi, Experimental design, The third edition, Maruzen, ISBN-10: 4621082809, (2010) (11) C. Y. Lin, C. H. Lay, Effects of carbonate and phosphate concentrations on hydrogen production using anaerobic sewage sludge microflora, Int J Hydrogen Energy, Vol. 9, No. 3(2004), 275-281. (12) Wei-Lung Yu, Sheng-Ju Wu, Sheau-Wen Shiah, Parametric analysis of the proton exchange membrane fuel cell performance using design of experiments, Int J Hydrogen Energy, Vol. 3,No, 9(2008), pp.2311-2322. (5) M.P. Anastasopoulos, A.C. Voulkidis, Athanasios V. Vasilakos, P.G. Cottis, A secure network management protocol for SmartGrid BPL networks: Design, implementation and experimental results, Computer Communications, Vol. 31, No. 8-18(2008), pp.4333-4342. (7) Mehrdad Setayesh Nazar, Mahmood R. Haghifam, Multiobjective electric distribution system expansion planning using hybrid energy hub concept, Electric Power Systems Research, Vol. 79, No. 6(2009), pp.899-911. (2) Huang Jiayi, Jiang Chuanwen, Xu Rong, A review on distributed energy resources and MicroGrid, Renewable and Sustainable Energy Reviews, Vol. 12, No. 9(2008), pp.2472-2483. (3) David V. Spitzley, Gregory A. Keoleian and Scott G. Baron, Life cycle energy and environmental analysis of a microgrid power pavilion, Int J Energy Research, Vol. 31, No. 1(2007), pp.1-13. 11 12 13 14 15 16 17 1 2 3 4 5 6 7 8 9 10 |
| References_xml | – reference: (3) David V. Spitzley, Gregory A. Keoleian and Scott G. Baron, Life cycle energy and environmental analysis of a microgrid power pavilion, Int J Energy Research, Vol. 31, No. 1(2007), pp.1-13. – reference: (6) Ryan Hledik, How Green Is the Smart Grid?, The Electricity Journal, Vol. 22, No. 3(2009), pp.29-41. – reference: (9) Garyfallos Giannakoudis, Athanasios I. Papadopoulos, Panos Seferlis, Spyros Voutetakis, Optimum design and operation under uncertainty of power systems using renewable energy sources and hydrogen storage, Int J Hydrogen Energy, Vol. 35, No. 3(2010), pp.872-891. – reference: (12) Wei-Lung Yu, Sheng-Ju Wu, Sheau-Wen Shiah, Parametric analysis of the proton exchange membrane fuel cell performance using design of experiments, Int J Hydrogen Energy, Vol. 3,No, 9(2008), pp.2311-2322. – reference: (14) Genichi Taguchi, Experimental design, The third edition, Maruzen, ISBN-10: 4621082809, (2010) – reference: (7) Mehrdad Setayesh Nazar, Mahmood R. Haghifam, Multiobjective electric distribution system expansion planning using hybrid energy hub concept, Electric Power Systems Research, Vol. 79, No. 6(2009), pp.899-911. – reference: (8) Zhenzhong Yang, Lijun Wang, Shilei Li, Investigation into the optimization control technique of hydrogen-fueled engines based on genetic algorithms, Int J Hydrogen Energy, Vol. 33, No. 22(2008), pp.6780-6791. – reference: (11) C. Y. Lin, C. H. Lay, Effects of carbonate and phosphate concentrations on hydrogen production using anaerobic sewage sludge microflora, Int J Hydrogen Energy, Vol. 9, No. 3(2004), 275-281. – reference: (2) Huang Jiayi, Jiang Chuanwen, Xu Rong, A review on distributed energy resources and MicroGrid, Renewable and Sustainable Energy Reviews, Vol. 12, No. 9(2008), pp.2472-2483. – reference: (10) Li-jun Wang, Man-lou He, Zhen-zhong Yang, Research on optimal calibration technology for hydrogen-fueled engine based on nonlinear programming theory, Int J Hydrogen Energy, Vol. 35, No. 7(2010), pp.2747-2753. – reference: (13) Roberto C Dante, José L Escamilla, Vicente Madrigal, Thomas Theuss, Juan de Dios Calderón, Omar Solorza, Rubén Rivera, Fractional factorial design of experiments for PEM fuel cell performances improvement, Int J Hydrogen Energy, Vol. 28, No. 3(2003), pp.343-348. – reference: (15) S. H. Chan, H. K. Ho, Y. Tian, Multi-level modeling of SOFC-gas turbine hybrid system, Int J Hydrogen Energy, Vol. 28, No. 8(2003), pp.889-900. – reference: (16) K. Narita, The Research on unused energy of the cold region city and utilization for the district heat and cooling, Ph. D. thesis, Hokkaido University, Sapporo, (1996). – reference: (1) Afzal S. Siddiqui, Chris Marnay, Distributed generation investment by a microgrid under uncertainty, Energy, Vol. 33, No.12(2008), pp.1729-1737. – reference: (17) NEDO Technical information database, Standard meteorology and Solar radiation data (METPV-3), http://www.nedo.co.jp, (2011.4.10). – reference: (4) Nirmal-Kumar C. Nair, Lixi Zhang, SmartGrid: Future networks for New Zealand power systems incorporating distributed generation, Energy Policy, Vol. 37, No. 9(2009), pp.3418-3427. – reference: (5) M.P. Anastasopoulos, A.C. Voulkidis, Athanasios V. Vasilakos, P.G. Cottis, A secure network management protocol for SmartGrid BPL networks: Design, implementation and experimental results, Computer Communications, Vol. 31, No. 8-18(2008), pp.4333-4342. – ident: 15 doi: 10.1016/S0360-3199(02)00160-X – ident: 17 – ident: 5 – ident: 1 – ident: 12 – ident: 11 – ident: 10 – ident: 16 – ident: 14 – ident: 8 doi: 10.1016/j.ijhydene.2008.05.108 – ident: 2 doi: 10.1016/j.rser.2007.06.004 – ident: 13 doi: 10.1016/S0360-3199(02)00069-1 – ident: 6 – ident: 3 doi: 10.1002/er.1223 – ident: 4 doi: 10.1016/j.enpol.2009.03.025 – ident: 7 doi: 10.1016/j.epsr.2008.12.002 – ident: 9 doi: 10.1016/j.ijhydene.2009.11.044 |
| SSID | ssib006634345 ssj0000608106 |
| Score | 1.7833556 |
| Snippet | Integrating distributed energy resources can reduce power transmission losses, improve the efficacy of waste heat usage, and utilize green energy. To promote... |
| SourceID | crossref jstage |
| SourceType | Enrichment Source Index Database Publisher |
| StartPage | 2004 |
| SubjectTerms | Cogeneration Distributed Generation Numerical Simulation Renewable Energy Solar Energy Solid Oxide Fuel Cell |
| Title | Study on the Operation Analysis of a Compound Energy System Using Orthogonal Array-GA Hybrid Analyzing Method |
| URI | https://www.jstage.jst.go.jp/article/kikaib/77/782/77_782_2004/_article/-char/en |
| Volume | 77 |
| hasFullText | 1 |
| inHoldings | 1 |
| isFullTextHit | |
| isPrint | |
| ispartofPNX | TRANSACTIONS OF THE JAPAN SOCIETY OF MECHANICAL ENGINEERS Series B, 2011, Vol.77(782), pp.2004-2018 |
| link | http://utb.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwpV1bb9MwFLbK4AEeEFcxbvIDEg9VSu5O3vCmQhlaB2sQ4ymynYR1g3aquof2l_HzOMeXNJWGxECq0siyHcvni318cs53CHmVVL5KfRl7VahCD3NYe5nKpJdXQZXINArSCuOdD8fp6Et8cJKc9Hq_Ol5Ll0s5UOsr40r-RapQBnLFKNlrSLbtFArgHuQLV5AwXP9KxhPDCG08FY8uaivNLtGI0G885k7qD02Yn-Eo7xtfgaPF8nT-XVsD-WIhVt573h-tMIrL9LLGSoc6y3RXjS2O-Xhi_E8mzm_ogH_iY2RW-DAsvmHh4XB_xMeab8HRV01wbYKz-SbX81de8DHf0z6Zk3q6nrZW3z1-zHXpKdou2Ep0DRTBxjShg9tgy5-1Hqjo1VNjRLMGoGNctKzsZgHOstjLImuWtCu0TfRikMhMsiK34Pome7HdvOH52ZUbA-y6IM3z6bmYygFjg027LbJtK8rSVCwZK-Fx7g_blK4GBsUBBm-QmyFjATqTfvzcWcnSKI7s91qjE4Dq5aeWNRQG82Z7KFta0a0zOBg4p0Kt5xT3yF17QKHcDOA-6Z2JB-ROh7byIfmpcUfnMwq4oy3uqMMdnTdUUIc7anBHDe6oxh3d4I463FGDO9rijhrcPSLFu2GxP_Js2g5PRaCQe6KpQz_NVdyEcZPh-TVhYdUkYS6TPBGqESLKQU-tKiUwA1rW-JFUDQuQW9CPo8dkZzaf1U8ITSoV1kEmQyVB0YdW0ARulWR53sBGtUs8N2ulspT2mFnlR4lHW5jljhxxlnfJ67b-hSFz-WPNt0YIbb1rI-Pp_3fxjNw2nzDw95zsLBeX9QvQgZfypYbbbzNjtg4 |
| linkProvider | Colorado Alliance of Research Libraries |
| 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=Study+on+the+Operation+Analysis+of+a+Compound+Energy+System+Using+Orthogonal+Array-GA+Hybrid+Analyzing+Method&rft.jtitle=TRANSACTIONS+OF+THE+JAPAN+SOCIETY+OF+MECHANICAL+ENGINEERS+Series+B&rft.au=WATANABE%2C+Seizi&rft.au=OBARA%2C+Shin%27ya&rft.date=2011&rft.pub=The+Japan+Society+of+Mechanical+Engineers&rft.eissn=1884-8346&rft.volume=77&rft.issue=782&rft.spage=2004&rft.epage=2018&rft_id=info:doi/10.1299%2Fkikaib.77.2004&rft.externalDocID=article_kikaib_77_782_77_782_2004_article_char_en |
| thumbnail_l | http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/lc.gif&issn=0387-5016&client=summon |
| thumbnail_m | http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/mc.gif&issn=0387-5016&client=summon |
| thumbnail_s | http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/sc.gif&issn=0387-5016&client=summon |