摘要
风电接入量的增加给电网的安全稳定运行带来了挑战。引入储能系统使风功率输出最大程度地满足期望输出,以减小风电不稳定特性造成的影响。将放电深度及过放现象等造成的寿命损伤折合为运行成本,将未满足期望输出部分的能量折合为惩罚成本,同时考虑储能设备的固有成本,以这三部分综合经济成本最小为优化目标,以功率约束、容量约束、电池寿命约束为约束条件,以遗传算法为求解方法,求解最优的储能容量。算例分析结果表明,采用该方法求得的最优容量,既可以保证较小的经济成本,也可以将功率波动控制在较小范围内。此外,对运行成本、惩罚成本、固有成本的关系进行了分析,证明了引入运行成本的必要性。
The increase of wind farm output transmitted to power grid brings challenges to its security and stability.Leading in energy storage system can make the wind farm output meeting the demand of expected output furthest and mitigating the affection due to the randomness of wind power.A method to optimize the energy storage capacity for wind farm is proposed,in which the minimum synthetical economic cost composed of three constituents,namely the operating cost converted from the loss of battery life due to the depth of discharge and the over-discharge,the penalty cost converted from the amount of the energy that does not meet the demand of expected output and the inherent cost of energy storage devices,is taken as the optimization objective,and the power,the capacity and the battery life are taken as constraints,and the optimized energy storage capacity is solved by genetic algorithm.Results of case study show that adopting the optimal capacity obtained by the proposed method not only a lower economic cost can be ensured,but also the fluctuation of wind farm output can be controlled within a smaller range.Besides,the relation among operating cost,penalty cost and inherent cost is analyzed and the analysis result shows that it is necessary to lead in the operating cost.
出处
《电网技术》
EI
CSCD
北大核心
2014年第6期1505-1511,共7页
Power System Technology
基金
国家自然科学基金项目(51307101
51177091)~~
关键词
风力发电
储能系统
容量配置
遗传算法
优化
wind power generation
energy storage
capacity allocation
genetic algorithm
optimization
