Observability of Power-Distribution Systems: State-Estimation Techniques and Approaches (SpringerBriefs in Applied Sciences and Technology)

✍ Scribed by Urban Kuhar, Gregor Kosec, Aleš Švigelj

• Tongue: English
• Leaves: 121
• Category: Library

✦ Synopsis

This book develops, implements and thoroughly evaluates a three-phase distribution system state estimation (DSSE) model. It gathers all relevant state-of-the-art knowledge and provides the missing pieces to offer readers a complete picture of several essential design and implementation factors and ways to address them. 

The book presents a three-phase branch model that allows of conductors, transformers, tap changers, and voltage regulators to be modelled. Its main features include:   

• modelling of all major power distribution components; 

• sensitivity analysis; and

• numerical solution to the estimation problem. 

This book presents a focused account of three-phase DSSE, making it of interest to postgraduate students, researchers and engineers in the field of power systems and distribution systems. 

✦ Table of Contents

Preface
Contents
Acronyms
Symbols
1 Introduction
1.1 The Evolution of Power-Distribution Systems and the Need …
1.2 Motivation and Goals
1.3 Book Summary by Chapters
References
2 State Estimation
2.1 Challenges of State Estimation in Distribution Systems
2.2 Problem Statement
2.2.1 Data Model
2.2.2 Maximum-Likelihood Estimation
2.2.3 Weighted Least Squares Estimation
2.2.4 Least Absolute Value Estimation
2.2.5 Schweppe–Huber's Generalized-M Estimation Based on Projection Statistics
2.3 Network Model
2.3.1 A Unified Three-Phase Branch Model
2.3.2 Conductors
2.3.3 Transformers
2.3.4 Voltage Regulators
2.3.5 The Complete Network Model
References
3 Numerical Solution of the Estimation Problem
3.1 Introduction
3.2 Newton–Raphson Iterative Method
3.3 Gauss–Newton Iteration Method
3.4 Hachtel's Augmented-Matrix Method
3.5 Iteratively Reweighted Least Squares
3.6 Relation to Our Network Model
3.6.1 Determination of the Initial Solution
3.6.2 Partial Derivatives for Power Flow Equations
3.6.3 Partial Derivatives for Power-Injection Equations
3.6.4 Generation of Measurement Configurations
3.7 Performance Evaluation on the Reference IEEE Power-Distribution Feeders
3.7.1 Computation Times for the Different Estimators
References
4 Small-Model and Measurement-Error Sensitivities
4.1 Introduction
4.2 Perturbation Approach to Sensitivity Analyses
4.2.1 Dual Variables
4.2.2 Sensitivities
4.2.3 Implementation
4.2.4 Error Bound
4.2.5 Results
4.2.6 Variation of the Line Length
4.2.7 Quality of the Measurements
4.2.8 Discussion
References
5 Final Remarks and Conclusions
5.1 Book Recapitulation
5.2 Future Work
References
Appendix A IEEE Distribution Test Feeders
A.1 The 13-Bus Feeder
A.2 The 123-Bus Feeder
Appendix B Conductor Data
B.1 Conductor Data
B.2 Underground Cables