Smart microgrids : new advances, challenges, and opportunities in the actual power systems /

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Bibliographic Details
Imprint:New York : Nova Publishers, [2013]
©2013
Description:1 online resource.
Language:English
Series:Electrical Engineering Developments
Electrical engineering developments series.
Subject:
Format: E-Resource Book
URL for this record:http://pi.lib.uchicago.edu/1001/cat/bib/11208486
Hidden Bibliographic Details
Other authors / contributors:Khodr, Hussein M., editor of compilation.
ISBN:9781628089813
1628089814
162808975X
9781628089752
Notes:Includes bibliographical references and index.
Description based on print version record.
Summary:In recent years, electrical power and energy systems have undergone an unprecedented revolution never observed before. The liberalization of electricity markets, the integration of electrical vehicles, information technology innovation, advanced communication systems, and smart-metering, etc., are all contributing to major changes in the basic operations of electrical power systems in their entirety. Consequently, all these aspects must enable electrical power and energy systems to become more intelligent, providing benefits, not only for the utilities and power systems operators, but also for.
Other form:Print version: Smart microgrids New York : Nova Publishers, [2013] 9781628089752 (hardcover)
Table of Contents:
  • ""SMART MICROGRIDS: NEW ADVANCES, CHALLENGES AND OPPORTUNITIES IN THE ACTUAL POWER SYSTEMS""; ""SMART MICROGRIDS: NEW ADVANCES, CHALLENGES AND OPPORTUNITIES IN THE ACTUAL POWER SYSTEMS""; ""Library of Congress Cataloging-in-Publication Data""; ""CONTENTS""; ""PREFACE""; ""Chapter 1: WIND SPEED FORECASTING: A COMPARISON BETWEEN STATISTICAL APPROACH AND LEARNING-BASED APPROACH""; ""Abstract""; ""1.Introduction""; ""2.Wind Speed Time Series Statistics""; ""3.Statistical Approach""; ""4.Learning-based Approaches""; ""5.Results""; ""Conclusion""; ""References""
  • ""Chapter 2: SHORT-TERM SCHEDULING OF MICROGRID WITH RENEWABLE SOURCES AND COMBINED HEAT AND POWER""""Abstract""; ""Nomenclature""; ""1 Introduction""; ""2 Problem Formulation""; ""3 Illustrative Example""; ""Conclusion""; ""References""; ""Chapter 3: DEMAND RESPONSE UNDER SMART GRID PARADIGM""; ""1 Nomenclature""; ""2 Background""; ""3 Introduction: What It Is and How It Works?""; ""4 Literature Review on Demand Response""; ""5 Mathematical Perspective of Demand Response""; ""6 DR Model Formulations""; ""7 Simulation Results""; ""8 DR Pilots and Challenges in Practical Implementation""
  • ""9 Future of DR Programs and Research Opportunities""""10 Role of Standards""; ""Conclusion""; ""Appendix""; ""References""; ""Chapter 4: APPLICATIONS OF THE GENETIC ALGORITHMS TO DESIGN THE PID CONTROLLER FOR A DC MOTOR SPEED REGULATION""; ""ABSTRACT""; ""ABBREVIATIONS""; ""1. INTRODUCTION""; ""2. ESTIMATION OF THE PID PARAMETERS WITH THE GA METHOD""; ""3. SIMULATION RESULTS""; ""CONCLUSION""; ""REFERENCES""; ""APPENDIX""; ""Chapter 5: PROTECTION AND AUTOMATION TRENDS IN MV AND LV SMART GRIDS ""; ""ABSTRACT""; ""1. INTRODUCTION""
  • ""2. AUTOMATION SCHEME FOR INTELLIGENT DISTRIBUTION NETWORK""""3. ADVANCED DISTRIBUTION AUTOMATION FOR LV SMARTGRIDS""; ""4. ADVANCED DISTRIBUTION AUTOMATION FOR MV SMART GRIDS""; ""5. FAULT MANAGEMENT IN SMART GRIDS""; ""CONCLUSION""; ""REFERENCES""; ""Chapter 6: OPTIMAL RECONFIGURATION OF ELECTRICAL DISTRIBUTION NETWORKS MAKING THE SCADA MORE INTELLIGENT IN THE CONTEXT OF THE SMART GRIDS ""; ""ABSTRACT""; ""1. INTRODUCTION""; ""2. RECONFIGURATION OF ELECTRIC POWER DISTRIBUTION NETWORKS""; ""3. FORMULATION OF THE PROBLEM OF DISTRIBUTION NETWORKS RECONFIGURATION""; ""CONCLUSION""
  • ""FURTHER WORK TO ENROLL IN UPCOMING ACTIVITIES""""ADDITIONAL ASPECTS""; ""ACKNOWLEDGMENT""; ""REFERENCES""; ""INDEX""