System State Estimation Using Weighted Least Square Method

Mohmadishak Sheikh, Chetan Sheth
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Abstract

State estimation is an essential part of every energy control management system. Accurate estimation of state or operating state is essential for security control and monitoring of power systems. Power system state estimation is a procedure to estimate true state from the inexact state of a power system. The conventional state estimator provides estimates of the power system states, i.e., bus voltages and angles which is obtained. State estimation is a computational technique for electrical power system.  It empowers the calculation of the power flows of the electrical power system which are not observed or not directly measured. State estimation is a computer program that detects, isolate and eliminate the incorrect or bad measurement data and estimates the accurate state. The magnitudes of bus voltage and phase angle are the states variables for an electrical power system. This paper outlines Weighted Least Square (WLS) estimation techniques and simulated estimation for standard IEEE systems.
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基于加权最小二乘法的系统状态估计
状态估计是每一个能源控制管理系统的重要组成部分。准确估计电力系统的状态或运行状态对电力系统的安全控制和监测至关重要。电力系统状态估计是指从电力系统的不精确状态估计出电力系统的真实状态的过程。传统的状态估计器提供了电力系统状态的估计,即母线电压和角度。状态估计是电力系统的一种计算技术。它使计算电力系统中无法观察到或无法直接测量的功率流成为可能。状态估计是一种检测、隔离和消除不正确或不良的测量数据并估计准确状态的计算机程序。母线电压和相角的大小是电力系统的状态变量。本文概述了加权最小二乘估计技术及其在标准IEEE系统中的仿真估计。
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