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基于锥优化的储能系统参与配电网运行调节快速计算方法
引用本文:赵金利,于莹莹,李鹏,吴建中,王成山,丁茂生.基于锥优化的储能系统参与配电网运行调节快速计算方法[J].电力系统自动化,2016,40(2):30-35.
作者姓名:赵金利  于莹莹  李鹏  吴建中  王成山  丁茂生
作者单位:智能电网教育部重点实验室, 天津大学, 天津市 300072,国网天津市电力公司检修公司, 天津市 300000,智能电网教育部重点实验室, 天津大学, 天津市 300072,School of Engineering, Cardiff University, Cardiff CF24 3AA, 英国,智能电网教育部重点实验室, 天津大学, 天津市 300072,国网宁夏电力公司, 宁夏回族自治区银川市 750001
基金项目:国家科技支撑计划资助项目(2013BAA01B02);国家自然科学基金资助项目(51307116)
摘    要:储能技术在配用电侧的广泛应用为提高可再生能源消纳能力、优化系统运行状态提供了新的手段。但是,储能系统参与到配电网运行调节后,使得配电网的优化问题更加复杂,对优化算法提出了更高的要求。为此,文中提出了一种基于锥优化的储能系统参与配电网运行调节的快速计算方法。首先,针对储能系统参与配电网运行调节的优化模型,提出了该问题的锥模型转化方法,得到标准形式的锥优化模型,进而利用锥优化工具实现问题的快速、准确求解。最后,通过算例测试验证了锥模型转化的正确性和锥优化方法的快速性。

关 键 词:配电网    储能系统    分布式电源    锥优化    网络损耗
收稿时间:2015/4/17 0:00:00
修稿时间:2015/11/9 0:00:00

A Fast Calculation Method of Energy Storage System for Distribution Network Regulation Based on Conic Programming
ZHAO Jinli,YU Yingying,LI Peng,WU Jianzhong,WANG Chengshan and DING Maosheng.A Fast Calculation Method of Energy Storage System for Distribution Network Regulation Based on Conic Programming[J].Automation of Electric Power Systems,2016,40(2):30-35.
Authors:ZHAO Jinli  YU Yingying  LI Peng  WU Jianzhong  WANG Chengshan and DING Maosheng
Affiliation:Key Laboratory of Smart Grid of Ministry of Education, Tianjin University, Tianjin 300072, China,Maintenance Company of State Grid Tianjin Electric Power Company, Tianjin 300000, China,Key Laboratory of Smart Grid of Ministry of Education, Tianjin University, Tianjin 300072, China,School of Engineering, Cardiff University, Cardiff CF24 3AA, UK,Key Laboratory of Smart Grid of Ministry of Education, Tianjin University, Tianjin 300072, China and State Grid Ningxia Electric Power Company, Yinchuan 750001, China
Abstract:The energy storage system (ESS) is widely applied to enhancing renewable energy accommodation and optimizing distribution network operation. However, the optimization problem of distribution network will get more complicated when the regulation of ESS is taken into account, which makes higher requirements on the optimization algorithm. Therefore, a fast calculation method of integrating ESS into the regulation of distribution network based on conic programming (CP) is proposed. Firstly, a basic optimization model of ESS for distribution network regulation is developed. Secondly, a method is presented to convert the basic model into an equivalent conic model as the standard format of the CP required, and then the optimization problem of ESS is solved rapidly and accurately by taking advantage of the CP solver. Finally, the validity of the conic model conversion and rapidity of the CP method are demonstrated through a test example. This work is supported by National Key Technologies R&D Program (No. 2013BAA01B02) and National Natural Science Foundation of China (No. 51307116).
Keywords:distribution network  energy storage system (ESS)  distributed generator (DG)  conic programming (CP)  network loss
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