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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 被引量:27

A Fast Calculation Method of Energy Storage System for Distribution Network Regulation Based on Conic Programming
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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。 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.
出处 《电力系统自动化》 EI CSCD 北大核心 2016年第2期30-35,48,共7页 Automation of Electric Power Systems
基金 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)
关键词 配电网 储能系统 分布式电源 锥优化 网络损耗 distribution network energy storage system(ESS) distributed generator(DG) conic programming(CP) network loss
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  • 1ACKERMANN T, ANDERSSON G, SODER L. Distributed generation: a definition[J]. Electric Power Systems Research, 2001, 57(3) : 195-204.
  • 2LOPES J A P, HATZIARGYRIOU N, MUTALE J. Integrating distributed generation into electric power systems: a review of drivers, challenges and opportunities [J]. Electric Power Systems Research, 2007, 77(9): 1189-1203.
  • 3田培根,肖曦,丁若星,黄秀琼.自治型微电网群多元复合储能系统容量配置方法[J].电力系统自动化,2013,37(1):168-173. 被引量:67
  • 4CONT S I, NICOLOSR I, RIZZO S A, et al. Optimal dispatching of distributed generators and storage systems for MV islanded microgrids[J]. IEEE Trans on Power Delivery, 2012, 27(3): 1243-1251.
  • 5NICK M, CHERKAOUI R, PAOLONE M. Optimal siting and sizing of distributed energy storage systems via alternating direction method of multipliers[J]. Electrical Power and Energy Systems, 2015, 72.. 33-39.
  • 6丁明,陈忠,苏建徽,陈中,吴建锋,朱承治.可再生能源发电中的电池储能系统综述[J].电力系统自动化,2013,37(1):19-25. 被引量:202
  • 7NICK M, CHERKAOU R I, PAOLONE M. Optimal allocation of dispersed energy storage systems in active distribution networks for energy balance and grid support[J]. IEEE Trans on Power Systems, 2014, 29(5) 2300-2309.
  • 8LAMADRID A J, MOUNT D T, THOMAR J S. Scheduling of energy storage systems with geographically distributed renewables [C]// Ninth IEEE International Symposium on Parallel and Distributed Processing with Applications Workshops, May 26-28, 2011, Busan, Korea: 85 90.
  • 9WANG Z W, ZHONG J, CHEN D, et al. A multi period optimal power flow model including battery energy storage [C]// IEEE on Power and Energy Society General Meeting, July 21-25, 2013, Vancouver, Canada: 1 5.
  • 10GAYME D, TOPCU U. Optimal power flow with large scale storage integration[J]. IEEE Trans on Power Systems, 2013, 28(2): 709-717.

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