Parallel algorithms for islanded microgrid with photovoltaic and energy storage systems planning optimization problem: Material selection and quantity demand optimization

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• 作者：Yang Cao^a ; ^b ; Chun Liu^b ; Yuehui Huang^b ; Tieqiang Wang^c ; Chenjun Sun^c ; Yue Yuan^a ; Xinsong Zhang^d ; ^{prettypebble@163.com} ; Shuyun Wu^a
• 关键词：Islanded microgrid with photovoltaic and energy storage systems ; Material selection ; Quantity demand optimization ; Time sequential simulation method ; Parallel algorithms
• 刊名：Computer Physics Communications
• 出版年：2017
• 出版时间：February 2017
• 年：2017
• 卷：211
• 期：Complete
• 页码：45-53
• 全文大小：773 K
• 卷排序：211

文摘

With the development of roof photovoltaic power (PV) generation technology and the increasingly urgent need to improve supply reliability levels in remote areas, islanded microgrid with photovoltaic and energy storage systems (IMPE) is developing rapidly. The high costs of photovoltaic panel material and energy storage battery material have become the primary factors that hinder the development of IMPE. The advantages and disadvantages of different types of photovoltaic panel materials and energy storage battery materials are analyzed in this paper, and guidance is provided on material selection for IMPE planners. The time sequential simulation method is applied to optimize material demands of the IMPE. The model is solved by parallel algorithms that are provided by a commercial solver named CPLEX. Finally, to verify the model, an actual IMPE is selected as a case system. Simulation results on the case system indicate that the optimization model and corresponding algorithm is feasible. Guidance for material selection and quantity demand for IMPEs in remote areas is provided by this method.