面向风电场SSO抑制的TCSC参数电磁暂态智能优化方法  

EMTP-Based Smart Optimization of TCSC Parameters Oriented for Mitigating Wind Farm SSO

作　　者：黄杰[1] 陈武晖[1] 董德勇[1] 谭伦农[1] 

机构地区：[1]江苏大学电气信息工程学院,江苏省镇江市212013

出　　处：《电网技术》2015年第9期2411-2417,共7页Power System Technology

基　　金：国家自然科学基金项目(51277089)~~

摘　　要：抑制风电场次同步振荡(sub-synchronous oscillations,SSO)的晶闸管可控串联补偿装置(thyristor controlled series compensation,TCSC)参数优化问题是强非线性参数优化问题,很难用解析方法求解。文中将单纯形算法(Simplex)与电磁暂态仿真程序结合的非线性参数优化方法引入到抑制SSO的TCSC参数的优化。该算法使用电磁暂态程序的仿真结果计算优化目标函数值,Simplex算法应用电磁暂态程序计算的优化目标函数结果智能地指导TCSC参数寻优方向,快速可靠地寻到最优参数,缩短仿真耗时。最后,针对风电不确定性,初步分析了风速变化对参数优化结果的影响,根据所采用的单机等值系统仿真结果分析,风速变化对TCSC参数优化结果的影响并不显著。Optimization of TCSC parameters oriented to mitigating wind farm sub-synchronous oscillations（SSO） is a strongly nonlinear parameter optimization problem, which is difficult to solve with analytic method. In this paper, nonlinear parametric optimization method, combining Simplex algorithm with electromagnetic transient simulation program（EMTP）, is used to optimize TCSC parameters for suppressing wind farm SSO. The proposed method calculates objective functions using EMTP simulation results. Based on the objective functions, simplex algorithm can guide the optimization direction of TCSC parameters intelligently, find optimum parameters quickly and reliably, and reduce simulation-consuming time. Finally, in terms of wind power uncertainty, this paper preliminarily analyses the impact of wind speed change on the results of parameter optimization. It is concluded from simulation results of single-machine equivalent case that the influence of wind speed change on optimization results of TCSC parameters is not significant.

关 键 词：电磁暂态仿真 单纯形算法 次同步振荡 可控串联补偿 

分 类 号：TM721[电气工程—电力系统及自动化]