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Multi-objective optimal scheduling method for Regional Photovoltaic-Storage-Charging Integrated system Participating in Demand Response

机译:区域光伏存储充电集成系统的多目标优化调度方法参与需求响应

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With the development of photovoltaic power generation and the popularity of electric vehicles, the integrated system of regional photovoltaic-storage-charging emerges as the times require. In this paper, the optimal scheduling problem in the operation of photovoltaic-storage-charging integrated system under the condition of grid connection is studied. This paper introduces the structure, basic composition unit and operation strategy of optical storage and charge integrated system under time-sharing electricity price. Considering the demand response of the charging load of the electric vehicle and the basic electric load of the village area, the transferable load of the peak and trough of the electricity price is determined. A two-objective optimization model is established to reduce the load peak and valley difference and improve the economy of the integrated optical storage and charging system, and the NSGA-II algorithm is used to solve it. Finally, an example is given to prove the effectiveness and feasibility of the proposed model and algorithm.
机译:随着光伏发电的发展和电动汽车的普及,综合系统的区域光伏储存充电系统随着时间的需求而出现。本文研究了在网格连接条件下的光伏存储充电集成系统操作中的最佳调度问题。本文介绍了在时间分享电价下的光学存储和电荷集成系统的结构,基本组成单元和操作策略。考虑到电动车充电负荷的需求响应和村区面积的基本电荷,确定了电价的峰值和槽的可转载荷。建立了一个双目标优化模型,以减少负载峰值和谷差异,改善集成光学存储和充电系统的经济性,并且使用NSGA-II算法来解决它。最后,给出了一个例子来证明所提出的模型和算法的有效性和可行性。

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