现代电力 ›› 2020, Vol. 37 ›› Issue (4): 341-350.doi: 10.19725/j.cnki.1007-2322.2020.0087

• 储能 • 上一篇    下一篇

计及灵活性的配电网储能优化配置

朱晓荣, 鹿国微   

  1. 新能源电力系统国家重点实验室(华北电力大学),河北省保定市 071003
  • 收稿日期:2020-02-26 出版日期:2020-08-10 发布日期:2020-08-07
  • 作者简介:朱晓荣(1972),女,博士,副教授,研究方向为新能源发电与并网技术,电力系统分析、运行与控制,E-mail:xiaorongzhu@ncepu.edu.cn;鹿国微(1995),男,硕士研究生,研究方向:配电网规划与运行,E-mail:835494541@qq.com

Optimal allocation of energy storage systems considering flexibility in distribution network

ZHU Xiaorong, LU Guowei   

  1. State Key Laboratory of Alternate Electrical Power System with Renewable Energy Sources, (North China Electrical Power University), Baoding 071003, Hebei Province, China
  • Received:2020-02-26 Online:2020-08-10 Published:2020-08-07

摘要: 针对目前配电网大量接入分布式电源所带来的净负荷剧烈波动问题,提出一种基于局部约束与整体灵活性定量评价相结合的配电网储能优化配置方法。首先利用X-means方法对配电网的年运行场景进行分析,经过聚类选择出关键场景;其次,建立配电网中运行灵活性的定量计算模型和局部灵活性约束;最后,基于所建立的灵活性评价模型,建立求解配电网中储能优化配置的双层迭代求解模型。利用标准IEEE33节点配电网系统模拟真实配电网进行算例设计和仿真,验证了提出的储能配置的灵活性规划方法的有效性和经济性。

关键词: 储能优化配置, 灵活性, 双层优化, 配电网, 粒子群算法

Abstract: To deal with the drastic fluctuation of net load caused by large amount of distributed power generation connected to distribution network, based on the combination of local restriction with quantitative evaluation of overall flexibility a method to optimally allocate the energy storage system was proposed. Firstly, the X-mean method was utilized to analyze the annual operation scenario of distribution network and through the clustering the key scenario was chosen. Secondly, the quantitative calculation model of operation flexibility in distribution network and the local flexibility constraint were established. Finally, based on the established flexibility evaluation model, a bi-layer iterative model to solve the optimal allocation of energy storage systems in distribution network was constructed. The standard IEEE-33 bus distribution network system was utilized in the design and simulation of a real distribution network. Simulation results show that the proposed flexible planning method for the allocation of energy storage systems in distribution network is effective and economic.

Key words: Energy storage system allocation, Flexibility, Bi-level optimization, Distribution network, Particle swarm optimization algorithm

中图分类号: 

  • TM73