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Neville R. Watson  One of the best experts on this subject based on the ideXlab platform.

Power quality State Estimation
European Transactions on Electrical Power, 2010CoAuthors: Neville R. WatsonAbstract:Due to the size and complexity of modern electrical power networks and the cost of monitoring and telecommunication equipment, it is unfeasible to full monitor the system State. For this reason State Estimation techniques are used. With strategically placed measurements, Estimation techniques can determine the parameters at unmonitored locations. Fundamental frequency State Estimation is now a standard tool in modern power systems. The emission and immunity levels of modern electrical equipment are different to that of the Past, and this has resulted in power quality issues have become important. Knowledge of the source and location of the disturbances is desirable so that remedial action can be taken promptly. Recent contributions have extended the concept to: harmonic State Estimation (HSE) and identification of harmonic sources, transient State Estimation (TSE) and voltage sag State Estimation (VSSE), which are all types of power quality State Estimation (PQSE). This paper Provides an overview of the Stateoftheart techniques currently available for PQSE in a large electrical power system. Copyright (C) 2010 John Wiley & Sons, Ltd.

Review of Power Quality State Estimation
2010 20th Australasian Universities Power Engineering Conference (AUPEC), 2010CoAuthors: Ali Farzanehrafat, Neville R. WatsonAbstract:Fundamental frequency State Estimation is now a standard tool in modern power systems. Research now is focused of extending State Estimation to power quality issues. With strategically placed measurements, Estimation techniques can be exploited to determine the power quality parameters at unmonitored locations. Power Quality State Estimation (PQSE) is significantly different from fundamental frequency State Estimation and requires new formulations and methods. PQSE is not only one particular type of analysis but encapsulates many different types. This paper introduces the concept of PQSE and reviews and categorizes the contributions in this area.

Transient State Estimation
2008 13th International Conference on Harmonics and Quality of Power, 2008CoAuthors: Neville R. WatsonAbstract:State Estimation techniques are used as it is infeasible to monitor completely the whole electrical network. However with strategically placed measurements, Estimation techniques can determine the parameters at unmonitored locations. Fundamental frequency State Estimation is now a standard tool in modern power systems. Estimation techniques have been extended to Harmonic State Estimation (HSE) and this paper further extends the Estimation techniques to Transient State Estimation (TSE). This technique is capable of estimating the complete system State using partial measurements and hence giving information on the fault location. It partitions the system nodes according to the type of branches that are connected to them. The algorithm is presented, which uses an efficient formulation of the network equations via a diakoptical segregation methodology, and demonstrated on the Lower South Island of the New Zealand test system.
Ali Abur  One of the best experts on this subject based on the ideXlab platform.

Observability and dynamic State Estimation
2015 IEEE Power & Energy Society General Meeting, 2015CoAuthors: Ali AburAbstract:Static State Estimation has been introduced almost half a century ago and became one of the crucial applications in modern energy management systems. Recent advances in monitoring capabilities of power grids motivated several investigations concerned about tracking not only the quasistatic bus voltages but also the dynamic States of generators and loads via the use of dynamic State estimators. In this paper, a twostage dynamic State Estimation framework along with issues of observability and measurement selection will be discussed.

power system State Estimation theory and implementation
2004CoAuthors: Ali Abur, A G ExpositoAbstract: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 EqualityConstrained 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 MEstimators 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 InequalityConstrained 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

Power System State Estimation: Theory and Implementation  Power system State Estimation : theory and implementation
Power Engineering (Willis), 2004CoAuthors: Ali Abur, A G ExpositoAbstract: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 EqualityConstrained 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 MEstimators 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 InequalityConstrained 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

power system State Estimation
2004CoAuthors: M E Baran, Ali AburAbstract:The sections in this article are 1 Problem Formulation 2 WLS Estimator 3 Implementation Issues 4 BAD Data Processing 5 Numerically Stable Estimators 6 Alternative State Estimation Methods 7 New State Estimation Applications
Zhao Fei  One of the best experts on this subject based on the ideXlab platform.

Overview on power system harmonic State Estimation
Power System Protection and Control, 2010CoAuthors: Zhao FeiAbstract:The concepts and functions of power system harmonic State Estimation are expounded.It is very important to harmonic monitoring and treatment.The existing algorithms of harmonic State Estimation are reviewed.The observability problem of harmonic State Estimation is studied and the existing observability analysis methods are proposed.The engineering application of harmonic State Estimation is illustrated.The application prospect of harmonic State Estimation is forecasted and several problems which require further investigation in this area are discussed.
A G Exposito  One of the best experts on this subject based on the ideXlab platform.

power system State Estimation theory and implementation
2004CoAuthors: Ali Abur, A G ExpositoAbstract: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 EqualityConstrained 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 MEstimators 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 InequalityConstrained 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

Power System State Estimation: Theory and Implementation  Power system State Estimation : theory and implementation
Power Engineering (Willis), 2004CoAuthors: Ali Abur, A G ExpositoAbstract: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 EqualityConstrained 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 MEstimators 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 InequalityConstrained 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
Antonio J. Conejo  One of the best experts on this subject based on the ideXlab platform.

State Estimation Sensitivity Analysis
IEEE Transactions on Power Systems, 2007CoAuthors: Roberto Mínguez, Antonio J. ConejoAbstract:Within energy management systems, State Estimation is a key function for building a network realtime model, which is a quasistatic mathematical representation of the current conditions in an interconnected network. The obtained model is dependent on the assumptions, and sensitivity analysis can be used to show how measurement schemes, transmission line modeling, and other parameters affect the quality of the State Estimation solution. This paper provides expressions to compute all these sensitivities, and an example and a case study are used to illustrate them.

State Estimation sensitivity analysis
MELECON 2006  2006 IEEE Mediterranean Electrotechnical Conference, 1CoAuthors: Roberto Mínguez, Antonio J. ConejoAbstract:Within electric energy management systems, State Estimation is a key function for building a network realtime model, which is a quasistatic mathematical representation of the current conditions in an interconnected electricity network. The obtained model is dependent on modeling assumptions, and sensitivity analysis can be used to show how transmission line modeling, measurement schemes and other parameters affect the State Estimation solution. This paper provides expressions to compute all these sensitivities. An example is used to illustrate the expressions derived.