Sen / Sengupta / Chakrabarti Electricity Pricing

Regulated, Deregulated and Smart Grid Systems
1. Auflage 2014
ISBN: 978-1-4822-5175-3
Verlag: Taylor & Francis
Format: PDF
Kopierschutz: Adobe DRM (»Systemvoraussetzungen)

E-Book, Englisch, 244 Seiten

Electricity Pricing: Regulated, Deregulated and Smart Grid Systems presents proven methods for supplying uninterrupted, high-quality 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 high-voltage 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 multi-objective 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 real-time systems while optimizing electricity cost.

Zielgruppe

Graduate students, post-graduate fellows, and researchers, as well as practicing electrical engineers.

Autoren/Hrsg.

Sen, Sawan

Sengupta, Samarjit

Chakrabarti, Abhijit

Fachgebiete

• Technische Wissenschaften Energietechnik | Elektrotechnik Elektrotechnik

Inhaltsverzeichnis

List of Figures

List of Tables

Preface

About the Authors

List of Principal Symbols

List of Abbreviations

Prologue

Motivation of the Book

Contributions of the Book

Organization of the Book

Background and Literature Survey

Introduction

Power Network Performance Evaluation

Importance of Voltage Stability on Performance Evaluation

Significance of Compensation Techniques

Optimization Methods with System Performance and Cost Emphasis

Enrichment of Cost-Governed System Performance in Smart Grid Arena

Concluding Remarks on Existing Efforts

Annotating Outline

Analysis of Voltage Stability of Longitudinal Power Supply System Using an Artificial Neural Network

Introduction

Theoretical Development of Voltage Stability and Voltage Collapse

Theoretical Background of Voltage Instability and Its Causes

Few Relevant Analytical Methods and Indices for Voltage Stability Assessment

Theory of ANN

Attributes of ANNs

Analysis of Voltage Stability of Multi-Bus Power Network

Classical Analysis of Voltage Stability

Application of ANN on Voltage Stability Analysis

Summary

Annotating Outline

Improvement of System Performances Using FACTS and HVDC

Introduction

Development of FACTS Controllers

Modeling of Shunt Compensating Device

Modeling of Series Compensating Device

Prologue of High-Voltage Direct Current (HVDC) System

Modeling of DC Link

Improvement of System Performance Using FACTS and HVDC

Improvement of Voltage Profile of Weak Bus Using SVC

Application of ANN for the Improvement Voltage Profile Using SVC

Application of TCSC and HVDC for Upgrading of Cost-Constrained System Performance

Summary

Annotating Outline

Multi-Objective Optimization Algorithms for Deregulated Power Market

Introduction

Deregulated Power Market Structure

Soft Computing Methodologies for Power Network Optimizations

Overview of Genetic Algorithm

Overview of Particle Swarm Optimization

Overview of Differential Evolution

Algorithms for Utility Optimization with Cost and Operational Constraints

Genetic Algorithm-Based Cost-Constrained Transmission Line Loss Optimization

GA-Based Generation Cost-Constrained Redispatching Schedules of GENCOs

Congestion Management Methodologies

Generator Contribution-Based Congestion Management Using Multi-Objective GA

DE- and PSO-Based Cost-Governed Multi-Objective Solutions in Contingent State

Mitigation of Line Congestion and Cost Optimization Using Multi-Objective PSO

Swarm Intelligence-Based Cost Optimization for Contingency Surveillance

Summary

Annotating Outline

Application of Stochastic Optimization Techniques in the Smart Grid

Introduction

Smart Grid and Its Objectives

Concept of the Smart Grid

Elementary Objectives of the Smart Grid and Demand Response

Demand Response-Based Architecture of the Smart Grid

Effect of DR on the Smart Grid Scenario

Cost Component of the Smart Grid

Smart Grid: Cost-Benefit Analysis

Swarm Intelligence-Based Utility and Cost Optimization

Cost Objective and Operating Constraints of the Work

Theory of Cost-Regulated Curtailment Index (CI)

Cost Realization Methodology Implementation with Swarm Intelligence

Implementation of the Cost-Effective Methodology with DR Connectivity

Summary

Annotating Outline

Epilogue

Summary and Conclusions

Future Scope

References

Appendix A: Description of Test Systems

Appendix B: Development of System Performance Indices

Index

Über Autor(innen)

Sawan Sen holds a B.Sc, B.Tech, M.Tech, and Ph.D from the University of Calcutta, Kolkata, India. She is currently an associate professor in the Electrical Engineering Department of the Academy of Technology, Hooghly, India. Her main research interests include power system stability analysis, system performance enhancement, and different soft computing techniques for solving power system problems like congestion management, cost optimization, and electricity pricing under regulated, deregulated, and smart grid environments.

Samarjit Sengupta holds a B.Sc, B.Tech, M.Tech, and Ph.D from the University of Calcutta, Kolkata, India. He is currently a professor of electrical engineering in the Department of Applied Physics at the University of Calcutta. He has published 130 journal papers and eight books on various topics of electrical engineering. His main research interests include power quality instrumentation, power system stability, and security and power system protection. He is a fellow of IET and IETE, as well as a senior member of IEEE.

Abhijit Chakrabarti holds as Ph.D from the University of Calcutta, Kolkata, India. He is currently the vice chancellor of Jadavpur University, Kolkata, India and a professor at the Indian Institute of Engineering Science and Technology, Shibpur. Previously he served on the West Bengal State Council of Higher Education as vice chairman and chairman. A life fellow of IE, he has authored 123 research papers and 12 books, and received the Pandit Madan Mohan Malviya Power Medal. He is a member of the AICTE including the NBA, as well as a member of different expert and policymaking committees for various universities.