Dynamic State Estimation of Multi-machine Power Network Integrated with SVC

Meera R. Karamta, Anilkumar Markana
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Abstract

This work describes the estimation of system states for WSCC 3-Generator 9-Bus system connected with SVC (shunt FACTS device). Bus voltage magnitudes and voltage phase angles of this test system are estimated using Weighted Least Square (WLS) and Extended Kalman Filter (EKF) methods of dynamic state estimation. Holt's two-parameter linear exponential smoothing method is utilised for model parameter identification required in EKF implementation. Performance of both estimation methods are compared under two disturbance conditions, vis-à-vis sudden load change and three-phase fault.
基于SVC的多机电网动态估计
本文描述了与SVC(并联FACTS装置)连接的WSCC 3-Generator 9-Bus系统的状态估计。采用加权最小二乘(WLS)和扩展卡尔曼滤波(EKF)两种动态估计方法对测试系统的母线电压幅值和电压相角进行了估计。采用Holt的双参数线性指数平滑法进行EKF实现所需的模型参数辨识。比较了两种估计方法在负载突然变化和三相故障两种干扰条件下的性能。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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