电力系统负荷建模的自动故障拟合法  

Automatic Post-disturbance Simulation Based Method for Power System Load Modeling

作　　者：鞠平[1] 刘伟航[1] 项丽[2] 余一平[1] 丁茂生[2] 陈谦[1] 

机构地区：[1]河海大学能源与电气学院,江苏省南京市210098 [2]宁夏电力公司,宁夏回族自治区银川市750000

出　　处：《电力系统自动化》2013年第10期60-64,共5页Automation of Electric Power Systems

基　　金：国家高技术研究发展计划(863计划)资助项目(2011AA05A103)~~

摘　　要：提出了电力系统负荷建模的自动故障拟合法,基于电网故障时的广域测量系统(WAMS)实测动态数据,通过粒子群优化(PSO)算法和时域仿真程序的交互计算,自动修正电网负荷模型参数,使仿真曲线逐步接近实测曲线。通过程序自动优化、调整负荷模型参数,大大减少了对人工经验和手动操作的依赖。以实际大电网负荷建模为例,综合应用节点测辨法和自动故障拟合法,验证了所提出方法的有效性和准确性。The rapid development of the wide area measurement system（WAMS） offers a new technology for power system modeling.This paper presents a method through automatic post-disturbance simulation for power system load modeling based on WAMS data.Through the alternative interaction of particle swarm optimization（PSO） algorithm and mature time domain simulation program,the post-disturbance dynamic trajectory will be continually simulated and the load model parameters can be automatically optimized.In modeling,the required time of parameter identification and the dependence on artificial experience and manual operation are greatly reduced.The test results of an actual large-scale power system indicate the feasibility and validity of the proposed method.

关 键 词：电力系统 负荷建模 故障拟合 粒子群优化 参数辨识 

分 类 号：TM743[电气工程—电力系统及自动化]