基于风储经济调度的储能容量优化配置  

An optimilazation calculation method of wind farm energy storage capacity based on economic dispatch

作　　者：殷志敏[1,2] 晁勤[1] 王纯琦[3] 王一波[4] 王境彪 石涛[1] 

机构地区：[1]新疆大学电气工程学院,新疆乌鲁木齐830047 [2]国网浙江省电力公司湖州供电公司,浙江湖州313000 [3]奥尔堡大学工程与科学学院 [4]中国科学院电工研究所,北京100190 [5]国网湖南省电力公司衡阳供电公司,湖南衡阳421000

出　　处：《可再生能源》2016年第1期64-71,共8页Renewable Energy Resources

基　　金：国家国际科技合作专项资助(2013DFG61520);国家自然科学基金(51267020);高等学校博士学科点专项科研基金资助项目(20126501110003)

摘　　要：大容量储能系统理论上可抑制风电出力波动,但其经济性不足成为实践应用的巨大瓶颈。文章从含储能的风电系统优化经济调度角度出发,以含风储的电力系统总成本最小为目标,主要考虑了因储能补偿风电功率预测误差而减小的火电旋转备用容量折算成本、因储能补偿平抑风电出力波动而减小的火电旋转备用容量折算成本,储能补偿风电场弃风成本,储能补偿火电排污和环境治理成本,以联合提高风电预测精度和平抑风电波动满足国网规定标准为约束,构建含风储的电力系统优化经济调度数学模型,采用遗传算法针对新疆某含风电的地区电网加装储能进行了储能容量优化配置。仿真结果表明,所提储能容量配置占风电场装机容量的9.60%,经济性较好,方法有效可行,具有较好的应用前景。At present large-capacity energy storage systems can theoretically smooth fluctuations of wind power output, but its economy is a huge bottleneck in practical applications. From the perspective of optimal economic dispatching of wind-storage power system, a mathematical model is established, the object of the proposed model is the minimum cost of power system with wind power and energy storage, in which the energy storage compensating wind power forecast error and smoothing fluctuation of wind power output are able to reduce the cost of spinning reserve capacity, use of energy storage can reduce the cost of wind energy curtailment and the cost of thermal power unit＇s pollution and emission; the constrains are both prediction accuracy and smoothed fluctuation of wind power output to satisfy the required standards set up by the State Grid. A certain regional power grid with wind power in Xinjiang was taken as the example and simulated by employing genetic algorithm（GA）. The results show that energy storage capacity is the most economical when it accounts for 9.6% of the wind farm installed capacity, and the proposed capacity optimization method is practical, effective and promising in application.

关 键 词：风力发电 经济调度 储能容量 遗传算法 

分 类 号：TK82[动力工程及工程热物理—流体机械及工程]