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

doi:10.19595/j.cnki.1000-6753.tces.210712

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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.

Key words： Energy storage system distributed photovoltaic source-network-load coordination joint sequential scenario joint planning

Received: 19 May 2021

PACS:

TM715

Fund:国家重点研发计划政府间国际科技创新合作重点项目（2018YFE0125300）、国家自然科学基金项目（52061130217）、湖湘高层次人才聚集工程项目（2019RS1016）、长沙市杰出创新青年计划（KQ2009037）、湖南省研究生科研创新项目（CX20200429）资助

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	Li Yong
	Yao Tianyu
	Qiao Xuebo
	Xiao Juanxia
	Cao Yijia

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Li Yong,Yao Tianyu,Qiao Xuebo等. Optimal Configuration of Distributed Photovoltaic and Energy Storage System Based on Joint Sequential Scenario and Source-Network-Load Coordination[J]. Transactions of China Electrotechnical Society, 2022, 37(13): 3289-3303.

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https://dgjsxb.ces-transaction.com/EN/10.19595/j.cnki.1000-6753.tces.210712 OR https://dgjsxb.ces-transaction.com/EN/Y2022/V37/I13/3289

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