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Power System State Estimation : Theory and Implementation

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TLDR
In this paper, Peters and Wilkinson this paper proposed a WLS state estimation algorithm based on the Nodal Variable Formulation (NVF) and the Branch Variable Factorization (BVF).
Abstract
Preface INTRODUCTION Operating States of a Power System Power System Security Analysis State Estimation Summary WEIGHTED LEAST SQUARES STATE ESTIMATION Introduction Component Modeling and Assumptions Building the Network Model Maximum Likelihood Estimation Measurement Model and Assumptions WLS State Estimation Algorithm Decoupled Formulation of the WLS State Estimation DC State Estimation Model Problems References ALTERNATIVE FORMULATIONS OF THE WLS STATE ESTIMATION Weaknesses of the Normal Equations Formulation Orthogonal Factorization Hybrid Method Method of Peters and Wilkinson Equality-Constrained WLS State Estimation Augmented Matrix Approach Blocked Formulation Comparison of Techniques Problems References NETWORK OBSERVABILITY ANALYSIS Networks and Graphs NetworkMatrices LoopEquations Methods of Observability Analysis Numerical Method Based on the Branch Variable Formulation Numerical Method Based on the Nodal Variable Formulation Topological Observability Analysis Method Determination of Critical Measurements Measurement Design Summary Problems References BAD DATA DETECTION AND IDENTIFICATION Properties of Measurement Residuals Classification of Measurements Bad Data Detection and IdentiRability Bad Data Detection Properties of Normalized Residuals Bad Data Identification Largest Normalized Residual Test Hypothesis Testing Identification (HTI) Summary Problems References ROBUST STATE ESTIMATION Introduction Robustness and Breakdown Points Outliers and Leverage Points M-Estimators Least Absolute Value (LAV) Estimation Discussion Problems References NETWORK PARAMETER ESTIMATION Introduction Influence of Parameter Errors on State Estimation Results Identification of Suspicious Parameters Classification of Parameter Estimation Methods Parameter Estimation Based on Residua! Sensitivity Analysis Parameter Estimation Based on State Vector Augmentation Parameter Estimation Based on Historical Series of Data Transformer Tap Estimation Observability of Network Parameters Discussion Problems References TOPOLOGY ERROR PROCESSING Introduction Types of Topology Errors Detection of Topology Errors Classification of Methods for Topology Error Analysis Preliminary Topology Validation Branch Status Errors Substation Configuration Errors Substation Graph and Reduced Model Implicit Substation Model: State and Status Estimation Observability Analysis Revisited Problems References STATE ESTIMATION USING AMPERE MEASUREMENTS Introduction Modeling of Ampere Measurements Difficulties in Using Ampere Measurements Inequality-Constrained State Estimation Heuristic Determination of F-# Solution Uniqueness Algorithmic Determination of Solution Uniqueness Identification of Nonuniquely Observable Branches Measurement Classification and Bad Data Identification Problems References Appendix A Review of Basic Statistics Appendix B Review of Sparse Linear Equation Solution References Index

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Citations
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Journal ArticleDOI

A Distributed Maximum-Likelihood-Based State Estimation Approach for Power Systems

TL;DR: A distributed maximum-likelihood-based state estimation approach for multiarea power systems using the student's -distribution measurement noise model, which has the property of “thick tail” to better model the occurrence of outliers and is fairly flexible to model different noise statistics.
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A Two-Stage Decomposition Approach for AC Optimal Power Flow

TL;DR: A scalable decomposition approach in which the power network is decomposed into a master network and a number of subnets, where each network has its own AC-OPF subproblem, which formulates a two-stage optimization problem and requires only a small amount of communication between the master and subnetworks.
Proceedings ArticleDOI

Parallel state estimation assessment with practical data

TL;DR: A parallel state estimation (PSE) implementation using a preconditioned conjugate gradient algorithm and an orthogonal decomposition-based algorithm that can achieve 5-20 times speedup comparing against the commercial EMS tool.
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Decentralized three-phase distribution system static state estimation based on phasor measurement units

TL;DR: A novel approach for static state estimation in electrical distribution systems, in which the state variables to be estimated are branch currents in rectangular coordinates is presented, yielding a naturally decentralized state estimator.
Proceedings ArticleDOI

Enhanced state estimation with real-time updated network parameters using SMT

TL;DR: In this article, the authors presented a practical implementation of Phasor Measurement Units for updating network parameter data bases to improve the performance of state estimators, which can be implemented only when full observability of the network parameters is available.
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