摘要
新型电力系统储能建设是提升分布式新能源消纳、改善电能质量的有效手段,现有储能规划研究未能充分利用实际配电自动化系统的可用信息,配置结果难以应用于实际电网。针对这一问题,提出了一种基于电力公用信息模型(CIM/e)的储能优化配置方法。首先,提出CIM/XML的数据解析方法,实现实际配电网的拓扑识别和潮流模型重构;其次,建立计及经济性与电能质量指标、内嵌潮流约束的储能优化配置模型,实现系统运行和规划的一体化设计,给出新增储能布点和容量的优化配置结果;最后,在中国南方地区两个不同电压等级的实际配电系统进行仿真实验,验证了所提方法的有效性。
Construction of energy storage systems for new power system is an effective means to improve the accommodation of distributed renewable energy and the quality of power supply.The existing research on energy storage planning doesn’t fully utilize the available information from actual distribution automation system,and the configuration results are difficult to apply to actual power grids.Arming at this problem,an optimal allocation method of energy storage based on electric common information model(CIM/e)is proposed.Firstly,the praising approach for CIM/XML data is proposed to realize topology identification and reconstruction of the power flow model for actual distribution network.Secondly,an energy storage optimization configuration model is established,which considers economic and power quality indexes and embedded power flow constraints.This model realizes the integrated design for system operation and planning,providing the optimization of energy storage location and capacity.Finally,two practical power distribution systems with two different voltage levels in southern China are simulated to verify the effectiveness of the proposed method.
作者
王枭
张靖
杜肖
和学豪
张闻
赵彪
刘清
WANG Xiao;ZHANG Jing;DU Xiao;HE Xuehao;ZHANG Wen;ZHAO Biao;LIU Qing(School of Electrical Engineering and Automation,Wuhan University,Wuhan 430072,China;School of Automation,Wuhan University of Technology,Wuhan 430072,China;Electric Power Research Institute,Yunnan Power Grid Co.,Ltd.,Kunming 650032,China;Dali Power Supply Bureau,Yunnan Power Grid Co.,Ltd.,Dali,Yunnan 671000,China)
出处
《南方电网技术》
CSCD
北大核心
2024年第5期112-123,共12页
Southern Power System Technology
基金
国家自然科学基金资助项目(52207134)
中国南方电网有限责任公司科技项目(YNKJXM20222105)。
关键词
储能配置
电力公用信息模型
潮流模型
配电网规划
energy storage allocation
electric common information model
power flow model
distribution network planning
