Abstract：Active distribution network can promote distributed photovoltaic (DPV) energy consumption through optimal scheduling of flexible resources. Therefore, this paper proposes a joint optimal configuration method of DPV and energy storage (ESS) based on joint sequential scenario and source-network-load coordination. An DPV- load joint temporal scene generation method is proposed to handle the source-load uncertainty and temporal correlation based on the characteristics of dynamic time warping. And it establishes the mathematical model of source-network-load-ESS resources. Then, it presents the mixed integer linear programming model of DPV and ESS joint optimal configuration, and the goal is to maximize the annual total power generation of DPV with the consideration of the distribution network economy. And it takes the 51-node standard test system as an example to analyze the correctness and effectiveness of the proposed method. And the effect on DPV consumption improvement of different flexible resources is quantitatively analyzed.
李勇, 姚天宇, 乔学博, 肖娟霞, 曹一家. 基于联合时序场景和源网荷协同的分布式光伏与储能优化配置[J]. 电工技术学报, 2022, 37(13): 3289-3303.
Li Yong, Yao Tianyu, Qiao Xuebo, Xiao Juanxia, Cao Yijia. Optimal Configuration of Distributed Photovoltaic and Energy Storage System Based on Joint Sequential Scenario and Source-Network-Load Coordination. Transactions of China Electrotechnical Society, 2022, 37(13): 3289-3303.
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2022, Vol. 37 
