• CSCD核心库收录期刊
  • 中文核心期刊
  • 中国科技核心期刊

电力建设 ›› 2015, Vol. 36 ›› Issue (12): 76-83.doi: 10.3969/j.issn.1000-7229.2015.12.012

• 输配电技术 • 上一篇    下一篇

计及配电网经济性与可靠性的电池储能系统优化配置

刘芳,李冰,张帆   

  1. 国网冀北电力有限公司经济技术研究院,北京市100045
  • 出版日期:2015-12-01
  • 作者简介:刘芳(1981),女,硕士,高级工程师,主要从事输变电工程项目管理工作; 李冰(1980),男,硕士,高级工程师,主要从事输变电工程项目管理工作; 张帆(1982),男,硕士,高级工程师,主要从事输变电工程项目管理工作。
  • 基金资助:

    国网冀北电力有限公司经济技术研究院自主项目(58F1500003)。

Battery Energy Storage System Optimal Allocation Considering Economy and Reliability of Distribution Network

LIU Fang, LI Bing, ZHANG Fan   

  1. State Grid Jibei Electric Power Company Limited Economic Research Institute, Beijing 100045, China
  • Online:2015-12-01

摘要:

经济性和可靠性是储能系统优化配置过程中必须考虑的2项指标,但往往不能同时达到最优。为协调二者之间的矛盾,建立了同时考虑经济性和可靠性的多目标电池储能系统优化配置模型。首先针对目前含储能元件系统,可靠性评估方法复杂、计算速度慢的现状,提出了一种含储能系统及分布式电源(distribution generation,DG)的配电网可靠性简化计算方法,量化储能配置后对配电网可靠性提高所做的贡献,得到持续供电时间增量及持续供电电量增量2个指标。然后,以配电系统的年净收益最大、配电系统故障时储能系统持续供电时间与供电电量最大为目标,建立了电池储能系统多目标优化配置模型,并采用改进的强度帕累托算法求解该多目标优化模型的帕累托前沿。最后对IEEE-33节点配电系统进行仿真计算,验证了所建模型的可行性及有效性。

关键词: 电池储能系统, 优化配置, 配电网年净收益, 可靠性, Pareto前沿, 分布式光伏

Abstract:

 Economy and reliability are two indexes that must be considered in the optimal allocation process of energy storage system. However, they cannot achieve the optimum simultaneously. In order to coordinate the contradiction, a multi-objective optimal allocation model of battery energy storage system (BESS) with considering the economy and reliability was built. Firstly, according to the current situation that the reliability evaluation method of system with energy storage element was complex, and its computing speed was slow, a simple reliability evaluation method of distribution network with distribution generation (DG) and BESS was proposed, in which the contribution of energy storage configuration to the reliability improvement of distribution network was quantified, and two reliability indexes, continuous power supply time increment and power supply increment were obtained. Secondly, with the goal of maximizing the annual net income of distribution network, the continuous power supply time increment and power supply increment of energy storage system during distribution system fault, the multi-objective optimal allocation model of BESS was established. The improved strength Pareto evolutionary algorithm (ISPEA) was applied to solve the Pareto front of this multi-objective model. Simulation calculation was carried on IEEE-33 nodes distribution system, whose results verified the feasibility and effectiveness of the proposed model.

Key words: battery energy storage system, optimal allocation, annual net income of distribution network, reliability, Pareto front, distributed photovoltaic

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