抑制风电爬坡事件的双蓄电池组参数优化配置  

Optimization Configuration of Dual BESS for Suppressing Wind Power Ramp Event

作　　者：戴长春[1] 章怡帆 

机构地区：[1]国网安徽省电力公司调度通信中心,安徽合肥230061 [2]合肥工业大学电气与自动化工程学院,安徽合肥230009

出　　处：《四川电力技术》2018年第1期31-35,43,共6页Sichuan Electric Power Technology

摘　　要：为了抑制风电爬坡事件,降低风电并网功率波动越限概率,提出了基于风电爬坡事件和双蓄电池组储能系统(battery energy storage system,BESS)的同步和异步控制策略,合理配置蓄电池组充放电时间,优化BESS参数。分析了风电爬坡事件,考虑弃风,基于改进粒子群算法(improved particle swarm optimization,IPSO)优化蓄电池组的使用寿命和装置费用,以及弃风与缺额的惩罚费用。仿真结果表明,动态风电爬坡事件定义更精确,异步控制策略更加有效,合理规划弃风的经济更优。In order to avoid the wind power ramp event and reduce the probability of wind power fluctuation, the synchronous and asynchronous control strategies are proposed based on wind power ramp event and dual battery energy storage system （ BESS） to allocate the battery charge and discharge time rationally and optimize BESS parameters. The wind power ramp event is analyzed by considering the wind curtailment, and the life time and installation cost of the battery are optimized as well as the penalty cost of wind curtailment and deficiency based on the improved particle swarm optimization algorithm （ IPSO ）. The simulation results show the accuracy of dynamic definition to the wind power ramp event, the effectiveness of the asynchronous control strategy, and the economics of reasonable planning of wind curtailment.

关 键 词：双蓄电池组 爬坡事件 配置方法 改进粒子群算法 

分 类 号：TM614[电气工程—电力系统及自动化]