基于动态规划-遗传算法的混合储能系统实时协调调度和经济运行
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  • 英文篇名:REAL-TIME COORDINATED DISPATCHING AND ECONOMIC OPERATION OF HYBRID ENERGY STORAGE BASED ON DYNAMIC PROGRAMMING-GENETIC ALGORITHM
  • 作者:朱永强 ; 王甜婧 ; 许阔 ; 唐萁 ; 夏瑞华
  • 英文作者:Zhu Yongqiang;Wang Tianjing;Xu Kuo;Tang Qi;Xia Ruihua;State Key Laboratory of Alternate Electrical Power System with Renewable Energy Sources,North China Electric Power University;
  • 关键词:储能 ; 调度 ; 经济分析 ; 动态规划 ; 遗传算法
  • 英文关键词:energy storage;;dispatching;;economic analysis;;dynamic programming;;genetic algorithms
  • 中文刊名:TYLX
  • 英文刊名:Acta Energiae Solaris Sinica
  • 机构:新能源电力系统国家重点实验室华北电力大学;
  • 出版日期:2019-04-28
  • 出版单位:太阳能学报
  • 年:2019
  • 期:v.40
  • 基金:国家高技术研究发展(863)计划(2015AA050102);; 新能源电力系统国家重点实验室2016年自主研究课题(LAPS2016-14)
  • 语种:中文;
  • 页:TYLX201904023
  • 页数:8
  • CN:04
  • ISSN:11-2082/TK
  • 分类号:175-182
摘要
提出一种基于动态规划-遗传算法的混合储能系统实时调度和经济运行方法,协调充放电过程和功率分配。建立混合储能经济运行的双目标优化模型,对储能的容量、功率、放电深度和充放电时间进行约束,兼顾微电网系统的供电可靠性和混合储能系统的使用寿命。并将频谱分析、动态规划和遗传算法相结合,优化混合储能的功率分配,实现系统的经济运行。仿真算例表明,该文所提出的混合储能系统实时调度和经济运行方法是可行的,而且可取得良好的经济性。
        In order to coordinate the charge/discharge process and the energy storage demand,this paper proposes a method of real-time dispatching and economic operation of hybrid energy storage sgstems(HESS)based on dynamic programming-genetic algorithm. The proposed bi-objective optimization model of HESS dispatching constrains the capacity,power,discharge depth and charge/discharge time,and satisfies the service life of HESS as well as service reliability of the power system. It also combines frequency spectrum analysis,dynamic programming and genetic algorithm to optimize the power allocation of HESS. The simulation case shows that the proposed method is feasible,and can obtain better economical efficiency.
引文
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