摘要
以风电功率预测为基础,将粒子群优化算法引入到风电场调度问题中,建立了以风电场有功功率损耗最小为优化目标的风电场调度模型,并提出了计算方法。计算实例表明,该方法可以有效解决风电场内部运行在非最大功率追踪模式下的风力发电机的调度难题,相比传统方法可大幅减少有功功率的损耗,使得风力发电机能更加有效地跟踪调度中心的出力要求。
Based on wind power prediction, an active power dispatch model of wind turbine generators is presented , in which the optimization objective is to minimize the line loss of the wind farm, and the particle swarm optimization algorithm is applied to solve the optimization function. Testing results show that this calculation method could track the power dispatch upon operator＇s request more accurately than the conventional distribution method, and the active power loss of wind farm can be reduced.
出处
《陕西电力》
2012年第6期11-15,共5页
Shanxi Electric Power
基金
国家自然科学基金资助项目(50807015
50977028)
中央高校基本科研经费支持项目
关键词
风电场
DFIG
粒子群优化算法
优化调度
有功功率损耗
wind farm
doubly fed induction generator（DFIG）
particle swarm optimization（PSO）
optimal dispatch
active power loss
