基于正交优选粒子群多机参数优化的风电SSO抑制方法  

Parameter Optimization of Multi-DFIGs for SSO Mitigation Based on Orthogonal Design and Particle Swarm Optimization

作　　者：刘其辉 洪晨威 田若菡 逄思敏 LIU Qihui;HONG Chenwei;TIAN Ruohan;PANG Simin(Key Lab of Power Systems With Renewable Energy Sources(North China Electric Power University),Changping District,Beijing 102206,China;Suzhou Power Supply Company,State Grid Jiangsu Electric Power Co.,Ltd.,Suzhou 215004,Jiangsu Province,China)

机构地区：[1]新能源电力系统国家重点实验室(华北电力大学),北京市昌平区102206 [2]国网江苏省电力有限公司苏州供电公司,江苏省苏州市215004

出　　处：《电网技术》2021年第12期4660-4670,共11页Power System Technology

基　　金：国家重点研发计划项目(2018YFB0904000);国家电网有限公司科技项目(SGJB0000TKJS1801242);华能集团总部科技项目“海上风电与智慧能源系统科技专项(一期)”(HNKJ20-H88)。

摘　　要：针对双馈风电场并网系统的次同步振荡的抑制问题,现有文献大多将整个风电场等值为一台机组进行研究,忽略了不同位置机组的个体差异性。计及场内风电机组的个体差异性,提出了一种双馈风电场多机控制参数协同优化的次同步振荡抑制方法。首先,建立了双馈风电场的多机等值模型,对比分析了不同机组的机侧变换器电流环比例参数对整个并网系统次同步振荡特性以及动态性能的影响。然后,提出了一种兼顾基频特性的基于正交实验优选、综合权重分析和粒子群算法的多机控制参数优化方法。结果表明,参数优化后在使系统具有较好基频动态特性基础上,有效提高了次同步频段稳定性。最后,通过仿真算例验证了多机参数优化方法的有效性和优越性。In view of the mitigation of subsynchronous oscillation(SSO)in the grid-connected system of doubly fed wind farms,most of the existing literatures tend to focus on regarding the whole wind farm as an equivalent unit while ignoring the differences of the units in different locations.In this paper,a subsynchronous oscillation suppression in the doubly-fed wind farm is proposed by co-optimization of multi-turbine control parameters considering the individual differences of the units.First of all,a multimachine equivalent model of the doubly-fed wind farms is established,and the influences of the current loop proportion parameters of the RSCs in different turbines on the subsynchronous oscillation characteristics and the dynamic performance of the whole system are comparably analyzed.Then a fundamental frequency characteristics is put forward based on the orthogonal experiment optimization,the comprehensive weight analysis and the particle swarm algorithm of multiple machine control parameter optimization configuration method.The results show that the stability of the subsynchronous frequency band is improved effectively after the parameter optimization,and the system still has good dynamic performance.Finally,the effectiveness and superiority of the above multi-machine parameter optimization method are verified by simulation.

关 键 词：双馈风电机组 次同步振荡抑制 多机系统 参数优化 多机等值模型 

分 类 号：TM614[电气工程—电力系统及自动化]