刘文霞, 杨梦瑶, 王静, 滕岳桓. 基于运行策略智能生成方法的增量配电系统储能优化配置[J]. 中国电机工程学报, 2021, 41(10): 3317-3329. DOI: 10.13334/j.0258-8013.pcsee.200655
引用本文: 刘文霞, 杨梦瑶, 王静, 滕岳桓. 基于运行策略智能生成方法的增量配电系统储能优化配置[J]. 中国电机工程学报, 2021, 41(10): 3317-3329. DOI: 10.13334/j.0258-8013.pcsee.200655
LIU Wenxia, YANG Mengyao, WANG Jing, TENG Yuehuan. Energy Storage Planning for Incremental Power Distribution Systems Based on the Intellectual Generating Method of Operational Strategies[J]. Proceedings of the CSEE, 2021, 41(10): 3317-3329. DOI: 10.13334/j.0258-8013.pcsee.200655
Citation: LIU Wenxia, YANG Mengyao, WANG Jing, TENG Yuehuan. Energy Storage Planning for Incremental Power Distribution Systems Based on the Intellectual Generating Method of Operational Strategies[J]. Proceedings of the CSEE, 2021, 41(10): 3317-3329. DOI: 10.13334/j.0258-8013.pcsee.200655

基于运行策略智能生成方法的增量配电系统储能优化配置

Energy Storage Planning for Incremental Power Distribution Systems Based on the Intellectual Generating Method of Operational Strategies

  • 摘要: 为提高增量配电系统储能配置的经济效益,该文提出一种基于运行策略智能生成方法的增量配电系统储能优化配置方法。首先,分析增量配电系统配置储能在给定市场条件下可以获得收益类型以及相应的运行方式,并通过建立储能的成本、延缓电网升级改造、提升可靠性、电能量市场和辅助服务市场等多项收益模型,计算单位容量储能获得各类收益经济性排序。根据年、日负荷特性,基于优先获取高收益原则,提出一种储能运行策略智能生成方法。其次,考虑放电过程中储能容量的衰退,建立面向增量配电系统的储能优化配置模型,并基于年仿真计算运行成本和收益。模型采用差分进化算法求解。算例表明,该方法可有效提升储能配置的综合效益。当系统充裕性不足时,配置储能的提升供电可靠性收益较好。研究成果可为增量配电网系统配置储能提供有益参考。

     

    Abstract: Aiming to enhance profits of the energy storage (ES) configuration for incremental power distribution systems, this paper proposed an ES planning method based on the intellectual generating method of operational strategies. First, the types of available revenues and corresponding operational constraints were analyzed. By establishing models of ES costs and revenues, the profit ranking of different revenues could be obtained. Based on the annual and daily load characteristics, as well as the principle of preferentially obtaining high returns, an intellectual generating method of operational strategies was proposed. Then, an ES planning model for incremental distribution systems was established considering the decline of ES capacity in the discharge process. The proposed model can be used to maximize the economic profits with the annual simulation based on the proposed intellectual generating method of operational strategies. The differential evolution algorithm was adopted to solve the problem. Case studies show that the proposed planning method can effectively improve comprehensive profits of ES configuration. And the profits of improving system reliability are great when the system is under lower redundancy. The research results can provide a useful reference for ES configuration in the incremental distribution network systems.

     

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