摘要
为求解使电力系统稳定运行的全风况多双馈风机(doubly fed induction generator,DFIG)并网变换器控制参数,建立多DFIG并网全风况时的小信号模型,采用李雅普诺夫线性化方法,推导出全风况多DFIG并网的小信号稳定分析特征方程,提出全风况系统小信号稳定的变换器控制参数整定粒子群优化(particle swarm optimization,PSO)算法,分析变换器控制参数对电力系统小信号稳定性的影响。算例及仿真结果表明:全风况多DFIG接入电网时,其变换器控制参数对电力系统小信号稳定特性的影响与全风况单台DFIG并网具有明显差异;采用PSO算法可获取全风况多DFIG并网时电网小信号稳定的变换器控制参数。
In order to find the converter control parameters of the full-wind condition multi-DFIGs connected to the grid for stable operation of the power system,a small-signal model of multi-DFIGs connected to the system under the full wind condition was established.The Lyapunov linearization method was used to derive the small-signal stability analysis characteristic equation of multi-DFIGs connected to infinite system under full wind condition The particle swarm optimization(PSO)algorithm was used to set the converter control parameters and analyze their influence on the small-signal stability of power system.The simulation results shows that the influence of converter control parameters of full-wind condition multi-DFIGs connected to the grid on the small signal stability characteristics is significantly different from that of single DFIG for full-window conditions.Converter control parameters can be obtained by PSO algorithm to ensure small-signal stability of full wind condition muti-DFIGs connected to the grid.
作者
马荣荣
贾燕冰
张博文
陈浩
李玉博
谢栋
李晶晔
MA Rongrong;JIA Yanbing;ZHANG Bowen;CHEN Hao;LI Yubo;XIE Dong;LI Jingye(Shanxi Key Laboratory of Power System Operation and Control, Taiyuan University of Technology, Taiyuan 030024, China;Taiyuan Power Supply Company, State Grid Shanxi Electric Power Company, Taiyuan 030001, China;Yuncheng Power Supply Company, State Grid Shanxi Electric Power Company, Yuncheng, Shanxi 044000, China;Shaoxing Power Supply Company, State Grid Zhejiang Electric Power Company Ltd., Shaoxing, Zhejiang 312000, China;Yangquan Power Supply Company, State Grid Shanxi Electric Power Company, Yangquan, Shanxi 045000, China)
出处
《中国科技论文》
CAS
北大核心
2020年第3期308-313,319,共7页
China Sciencepaper
基金
国家自然科学基金资助项目(51807129)
山西省青年科技研究基金资助项目(201801D221362)
山西省重点研发计划(国际科技合作)项目(201803D421010)。
关键词
电力系统
全风况多双馈风机
粒子群优化算法
变换器控制参数整定
power system
full-wind condition multi-DFIGs
particle swarm optimization algorithm
converter control parameters setting
