A Study on Optimization of Cooperative Operation of Controllable Generators and Batteries in Microgrids Considering Operational Benefits
A Study on Optimization of Cooperative Operation of Controllable Generators and Batteries in Microgrids Considering Operational Benefits
カテゴリ: 部門大会
論文No: 164
グループ名: 【B】平成29年電気学会電力・エネルギー部門大会
発行日: 2017/09/05
タイトル(英語): A Study on Optimization of Cooperative Operation of Controllable Generators and Batteries in Microgrids Considering Operational Benefits
著者名: Zar Soe Thin(福井大学),Hirotaka Takano(福井大学),Ryuhei Shiomi(福井大学),Hisao Taoka(福井大学)
著者名(英語): Zar Soe Thin|Hirotaka Takano|Ryuhei Shiomi|Hisao Taoka
キーワード: マイクログリッド,microgrids,supply-demand balancing operations,unit commitment and economic load dispatch (UC-ELD) problem,battery operation,Enumeration methodbinary particle swarm optimization (BPSO)
要約(日本語): This paper presents a problem formulation and its solution to determine cooperative operation plan of microgrids considering the operational benefits. In the problem formulation, the authors emphasize the operational benefits of microgrids by integrating the supply-demand balancing constraint into objective function which composed by the sum of the operational costs of 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 binary particle swarm optimization (BPSO) algorithm with enumeration-based preprocessing as the initial solution of BPSO. The enumeration-based preprocessing is performed in order to improve the searching performance of BPSO. In numerical simulations and results, the authors convinced that enumeration-based BPSO is the most trustworthy method in order to minimize the total operation costs of our cooperative operation plan by comparing with the conditions of without battery of directly applied BPSO and enumeration method. It is also confirmed that the batteries perform the load shifting and reduce reserve shortfalls together with incurred fuel costs in order to minimize the total operation costs.
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