文章摘要
茆美琴,刘云晖,张榴晨,等.含高渗透率可再生能源的配电网广义储能优化配置[J].电力系统自动化,2019,43(8):77-85. DOI: 10.7500/AEPS20180615002.
MAO Meiqin,LIU Yunhui,ZHANG Liuchen, et al.Optimal Configuration of Generalized Energy Storage in Distribution Network with High-penetration Renewable Energy[J].Automation of Electric Power Systems,2019,43(8):77-85. DOI: 10.7500/AEPS20180615002.
含高渗透率可再生能源的配电网广义储能优化配置
Optimal Configuration of Generalized Energy Storage in Distribution Network with High-penetration Renewable Energy
DOI:10.7500/AEPS20180615002
关键词: 高渗透率可再生能源  广义储能  二层优化  可控负荷
KeyWords: high-penetration renewable energy  generalized energy storage  bi-level optimization  controllable load
上网日期:2019-02-26
基金项目:国家自然科学基金资助项目(51577047);安徽省科技厅国际合作项目(1604b0602015)
作者单位E-mail
茆美琴 教育部光伏系统研究工程中心, 合肥工业大学, 安徽省合肥市 230009 mmqmail@163.com 
刘云晖 教育部光伏系统研究工程中心, 合肥工业大学, 安徽省合肥市 230009  
张榴晨 教育部光伏系统研究工程中心, 合肥工业大学, 安徽省合肥市 230009  
张健 教育部光伏系统研究工程中心, 合肥工业大学, 安徽省合肥市 230009  
摘要:
      广义储能系统包括固定储能系统和具有存储热能、势能和电能等的可控负载。针对含有高渗透率可再生能源的配电网的广义储能优化配置问题,提出了广义储能配置的二层优化模型。根据所提方法,外层采用遗传算法搜索广义储能配置方案,内层根据动态规划算法得到广义储能的最优运行策略,通过内外层交替优化对含有不同渗透率可再生能源以及可控负荷的配电网进行广义储能容量优化配置,并在IEEE 33节点配电网中对提出的方法进行验证。仿真计算结果表明,在高渗透率可再生能源条件下,所提方法能通过可控负载有效增加配电网系统的调控资源,显著减小固定储能配置容量,降低系统的运行成本。
Abstract:
      Generalized energy storage system(GESS)includes stationary energy storage system and controllable loads which can store thermal energy, potential energy and electric energy. An optimal model based on bi-level optimization method is proposed to solve the GESS optimal configuration problem of distribution networks with high-penetration renewable energy. According to the proposed method, the external model uses the genetic algorithm to search for the configuration scheme for GESS and the internal model is used to optimize the operation strategy of GESS based on the dynamic programming algorithm. By alternately optimizing the internal and external layers, the capacity of GESS in the distribution network containing renewable energy and controllable loads is optimized. And an IEEE 33-node distribution grid is taken as an example to verify that the proposed method can effectively increase the control resources of the distribution network system through controllable loads, and it can significantly reduce the configuration capacity of stationary energy storage and the operation cost of the system.
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