摘要
随着风电场规模的不断增大,风电场可通过发出一定的无功功率参与电网电压控制。为减小因无功功率在风电场内部流动引起的有功损耗和节点电压波动,本文提出了一种无功分配策略,充分考虑风电场内部拓扑结构,计及风场内部线路分布和电气设备参量对潮流的影响,将双馈风力发电机组作为连续无功源,以风电场内部系统网损最小为优化目标,采用粒子群优化算法,对所构造的无功优化模型进行解算,实现对各个机组无功出力的合理分配。最后,以山东某风电场为例,对其各个机组无功出力进行了优化,减小了系统有功损耗,有效地改善了节点电压质量。
With the increasing scale of wind farms,a wind farm can participate in grid voltage control by sending some reactive power. To reduce the active power loss and node voltage fluctuation caused by the reactive power flowing in the wind farm,a reactive power allocation strategy is proposed. Considering the internal topology of the wind farm,the effects of the internal circuit distribution and electrical equipment parameters on the power flow are taken into account. To minimize the internal grid loss of the wind farm,the doubly-fed induction generator(DFIG)units are employed as a continuous reactive power source. Then,the particle swarm optimization(PSO)algorithm is used to solve the constructed reactive power model,thus realizing the reasonable allocation of reactive power output of each unit. Finally,a wind farm in Shandong Province is taken as an example,and the reactive power output of each unit is optimized,which reduces the system’s active power losses and effectively improves the quality of node voltage.
作者
李桂丹
王佳琦
靳新悦
张羽
LI Guidan;WANG Jiaqi;JIN Xinyue;ZHANG Yu(School of Electrical and Information Engineering,Tianjin University,Tianjin 300072,China;Datang Renewable Test and Research Institute,Beijing 100052,China)
出处
《电力系统及其自动化学报》
CSCD
北大核心
2019年第7期123-128,共6页
Proceedings of the CSU-EPSA
关键词
风电场
无功优化
粒子群优化算法
潮流计算
双馈风力发电机
wind farm
reactive power optimization
particle swarm optimization(PSO)algorithm
power flow calculation
doubly-fed induction generator(DFIG)
