基于遗传算法的风电混合储能容量优化配置  

Hybrid Energy Storage Capacity Optimization for Independent Wind Generation System Based on Genetic Algorithm

作　　者：杨国华[1,2] 朱向芬[1] 周鑫[1] 丁晓花[1] 卫宁波 马玉娟[1] 王金梅[1,2] 

机构地区：[1]宁夏大学电气工程与自动化系,宁夏银川750021 [2]宁夏沙漠信息智能感知自治区重点实验室,宁夏银川750021

出　　处：《电气传动》2015年第2期50-53,共4页Electric Drive

基　　金：国家自然基金项目(71263043;51167015);宁夏自治区自然基金项目(NZ12140)

摘　　要：为了降低独立风力发电系统中储能装置的生命周期费用,建立以风力发电系统中储能装置的生命周期费用最小值为优化的目标函数、负荷缺电率等指标为约束条件的模型,结合蓄电池和超级电容器储能特性,利用风电和负荷48 h的发用电数据,研究包含蓄电池和超级电容器的储能系统能量管理策略。提出了一种基于改进粒子群算法的储能容量生命周期费用优化配置方法,算例分析证明该算法具有有效性和实用性,优化后的系统很大程度上节省了经济成本。In order to reduce the energy storage life cycle cost of wind power generation system,established therestraint model with the loss of power supply probability as constraint conditions. Combined with the characteristics ofultracapacitor and battery,used the generated energy of wind and the consumption of load in 48 h,the energymanagement strategy of the energy storage system included battery and ultracapacitor was studied. The life cycle cost ofcapacity optimization method based on genetic algorithm was proposed. Example analyzsis demonstrates that thealgorithm is effective and practical;the optimized system largely saves the economic cost.

关 键 词：风力发电系统 混合储能 储能容量优化配置 遗传算法 

分 类 号：TM614[电气工程—电力系统及自动化]