电力系统保护与控制Issue(3)：1-6,6.
基于风电功率min级分量波动特性的风电场储能容量优化计算
Optimization calculation of wind farm storage capacity based on minute-scale wind power characteristic
摘要
Abstract
The energy storage system makes randomly fluctuating wind power feasible for pre-determined power dispatching. To reduce impacts of wind power random fluctuation component on power grid, an optimization method for determining storage capacity is proposed to smooth wind power minute-scale, based on the statistical analysis of wind power minute-scale wave characteristic.Considering the wind power minute-scale characteristic, the optimization model is built to confirm storage capacity and maximum charging and discharging power by using interval theory of probability and statistics. The study can smooth wind power minute-scale by small capacity storage and reduce the impacts of wind power on power grid, and the model is proved to be effective.关键词
风力发电/储能容量/最大充放电功率/置信度Key words
wind power/energy storage capacity/maximum charging and discharging power/degree of confidence分类
信息技术与安全科学引用本文复制引用
冯江霞,梁军,冯益坤..基于风电功率min级分量波动特性的风电场储能容量优化计算[J].电力系统保护与控制,2015,(3):1-6,6.基金项目
国家自然基金资助项目(51177091)；山东省自然科学基金资助项目(ZR2010EM055)This work is supported by National Natural Science Foundation of China (No.51177091) and Natural Science Foundation of Shandong Province (No. ZR2010EM055) （51177091）
