Book description
Electricity Pricing: Regulated, Deregulated and Smart Grid Systems presents proven methods for supplying uninterrupted, highquality electrical power at a reasonable price to the consumer. Illustrating the evolution of the power market from a monopoly to an open access system, this essential text:
 Covers voltage stability analysis of longitudinal power supply systems using an artificial neural network (ANN)
 Explains how to improve performance using flexible alternating current transmission systems (FACTS) and highvoltage direct current (HVDC)
 Takes into account operating constraints as well as generation cost, line overload, and congestion for expected and inadvertent loading stress
 Goes beyond FACTS and HVDC to provide multiobjective optimization algorithms for the deregulated power market
 Proposes the use of stochastic optimization techniques in the smart grid, preparing the reader for future development
Electricity Pricing: Regulated, Deregulated and Smart Grid Systems offers practical solutions for improving stability, reliability, and efficiency in realtime systems while optimizing electricity cost.
Table of contents
 Cover
 Half Title
 Title Page
 Copyright Page
 Dedication
 Table of Contents
 List of Figures
 List of Tables
 Preface
 About the Authors
 List of Principal Symbols
 List of Abbreviations
 1. Prologue

2. Background and Literature Survey
 2.1 Introduction
 2.2 Power Network Performance Evaluation
 2.3 Concluding Remarks on Existing Efforts
 Annotating Outline

3. Analysis of Voltage Stability of Longitudinal Power Supply System Using an Artificial Neural Network
 3.1 Introduction

3.2 Theoretical Development of Voltage Stability and Voltage Collapse
 3.2.1 Theoretical Background of Voltage Instability and Its Causes

3.2.2 Few Relevant Analytical Methods and Indices for Voltage Stability Assessment
 3.2.2.1 The PV and VQ Curves for the Small System
 3.2.2.2 Singular Values
 3.2.2.3 Eigenvalue Decomposition
 3.2.2.4 Modal Analysis
 3.2.2.5 Voltage Stability Index L
 3.2.2.6 Fast Voltage Stability Index (FVSI) and Line Quality Factor (LQF)
 3.2.2.7 Global Voltage Stability Indicator
 3.2.2.8 Voltage Collapse Proximity Indicator (VCPI)
 3.2.2.9 Proximity Indices of Voltage Collapse
 3.2.2.10 Identification of Weak Bus of Power Network
 3.2.2.11 Diagonal Element Ratio
 3.2.2.12 Line Voltage Stability Index
 3.2.2.13 Local Load Margin
 3.2.2.14 Voltage Ratio Index
 3.3 Theory of ANN
 3.4 Analysis of Voltage Stability of MultiBus Power Network
 3.5 Summary
 Annotating Outline

4. Improvement of System Performances Using FACTS and HVDC
 4.1 Introduction
 4.2 Development of FACTS Controllers
 4.3 Prologue of HighVoltage Direct Current (HVDC) System

4.4 Improvement of System Performance Using FACTS and HVDC
 4.4.1 Improvement of Voltage Profile of Weak Bus Using SVC
 4.4.2 Application of ANN for the Improvement Voltage Profile Using SVC

4.4.3 Application of TCSC and HVDC for Upgrading of CostConstrained System Performance
 4.4.3.1 Determination of the Weakest Link in the System under Stressed and Contingent Conditions
 4.4.3.2 Performance of TCSC and the HVDC Interconnection Link Separately in Stressed Conditions
 4.4.3.3 Performance of TCSC and the HVDC Interconnection Link during Line Contingency
 4.4.3.4 Cost Comparison of TCSC and the HVDC Link
 4.5 Summary
 Annotating Outline

5. MultiObjective Optimization Algorithms for Deregulated Power Market
 5.1 Introduction
 5.2 Deregulated Power Market Structure
 5.3 Soft Computing Methodologies for Power Network Optimizations
 5.4 Algorithms for Utility Optimization with Cost and Operational Constraints

5.5 Congestion Management Methodologies
 5.5.1 Generator ContributionBased Congestion Management Using MultiObjective GA
 5.5.2 DE and PSOBased CostGoverned MultiObjective Solutions in Contingent State
 5.5.3 Mitigation of Line Congestion and Cost Optimization Using MultiObjective PSO
 5.5.4 Swarm IntelligenceBased Cost Optimization for Contingency Surveillance
 5.6 Summary
 Annotating Outline

6. Application of Stochastic Optimization Techniques in the Smart Grid
 6.1 Introduction
 6.2 Smart Grid and Its Objectives
 6.3 Swarm IntelligenceBased Utility and Cost Optimization
 6.4 Summary
 Annotating Outline
 7. Epilogue
 References
 Appendix A: Description of Test Systems
 Appendix B: Development of System Performance Indices
 Index
Product information
 Title: Electricity Pricing
 Author(s):
 Release date: September 2018
 Publisher(s): CRC Press
 ISBN: 9781351831031
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