An Alternative Selection in Optimization of Cooperative Operation of Controllable Generators and Batteries for Microgrids Operators Addressing with Operational Benefits

カテゴリ: 研究会(論文単位)

論文No: PE17080

グループ名: 【B】電力・エネルギー部門 電力技術研究会

発行日: 2017/09/21

タイトル(英語): An Alternative Selection in Optimization of Cooperative Operation of Controllable Generators and Batteries for Microgrids Operators Addressing with Operational Benefits

著者名: Thin Zar Soe(福井大学),高野 浩貴(福井大学),塩見 竜平(福井大学),田岡 久雄(福井大学)

著者名(英語): Thin Zar Soe(University of Fukui),Hirotaka Takano(University of Fukui),Ryuhei Shiomi(University of Fukui),Hisao Taoka(University of Fukui)

キーワード: microgrids|supply-demand balancing operations|unit commitment and economic load dispatch (UC-ELD) problems|battery operations|enumeration-based binary particle swarm optimization (enumeration-based BPSO)

要約(日本語): This paper presents a problem formulation and its solution to determine cooperative operation plan of microgrids in order to contribute an alternative selection of operation plan for microgrid operators addressing with operational benefits. In problem formulation, the authors emphasize the operational benefits of microgrids by relaxing the supply-demand balancing constraint and integrating it into objective function which is composed by the sum of the operational costs of the controllable generators (CGs) and the penalty which is the additional cost for compensating the imbalanced power purchased from main grid. Moreover, the optimal operation plan is determined by the enumeration-based binary particle swarm optimization (Enumeration-based BPSO) algorithm. Through the simulations results, the authors confirmed that proposed enumeration-based BPSO is extremely better than the conventional based BPSO. The expansion of alternative selection for microgrid operators is achieved by relaxing the power balance constraint and introducing the transition of penalty factors to increase the operational benefits.

要約(英語): This paper presents a problem formulation and its solution to determine cooperative operation plan of microgrids in order to contribute an alternative selection of operation plan for microgrid operators addressing with operational benefits. In problem formulation, the authors emphasize the operational benefits of microgrids by relaxing the supply-demand balancing constraint and integrating it into objective function which is composed by the sum of the operational costs of the controllable generators (CGs) and the penalty which is the additional cost for compensating the imbalanced power purchased from main grid. Moreover, the optimal operation plan is determined by the enumeration-based binary particle swarm optimization (Enumeration-based BPSO) algorithm. Through the simulations results, the authors confirmed that proposed enumeration-based BPSO is extremely better than the conventional based BPSO. The expansion of alternative selection for microgrid operators is achieved by relaxing the power balance constraint and introducing the transition of penalty factors to increase the operational benefits.

原稿種別: 英語

PDFファイルサイズ: 1,319 Kバイト