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Sustaining Power Resources through Energy Optimization and Engineering

Book Description

As the world continues to evolve technologically, people depend more heavily on energy-dependent systems to fulfill their daily needs. However, as these needs grow, it is important to develop sustainable systems that are reliable, as well as environmentally sound. Sustaining Power Resources through Energy Optimization and Engineering highlights the sustainable development and efficient operation of energy systems being provided to consumers. Featuring emergent research and trends within the area of power optimization and engineering, this book is a crucial reference source for engineers, researchers, sustainability experts, and professionals interested in the improvement and usage of infrastructural energy systems.

Table of Contents

  1. Cover
  2. Title Page
  3. Copyright Page
  4. Book Series
    1. Mission
    2. Coverage
  5. Editorial Advisory Board and List of Reviewers
    1. Editorial Advisory Board
    2. List of Reviewers
  6. Foreword
  7. Foreword
  8. Foreword
  9. Preface
  10. Acknowledgment
  11. Chapter 1: Assessment and Enhancement of the Energy Supply System Efficiency with Emphasis on the Cogeneration and Renewable as Main Directions for Fuel Saving
    1. ABSTRACT
    2. INTRODUCTION
    3. METHODS OF EXPENSES ALLOCATION
    4. UNSTABILIZED ELECTRICITY OF WIND POWER PLANTS AS A SUBSTITUTE OF HIGH-QUALITY FUEL AT THERMAL POWER PLANTS
    5. CONCLUSION
    6. REFERENCES
  12. Chapter 2: Problems of Modeling and Optimization of Heat Supply Systems
    1. ABSTRACT
    2. INTRODUCTION
    3. BACKGROUND
    4. PROBLEM STATEMENT
    5. MATHEMATICAL MODEL
    6. PROPERTIES OF THE MATHEMATICAL MODEL
    7. A SET OF PROBLEMS TO BE SOIVED
    8. A PROBLEM SOLVING TECHNIQUE
    9. SOLUTIONS AND RECOMMENDATIONS
    10. FUTURE RESEARCH DIRECTIONS
    11. CONCLUSION
    12. REFERENCES
    13. KEY TERMS AND DEFINITIONS
  13. Chapter 3: Problems of Modeling and Optimization of Heat Supply Systems
    1. ABSTRACT
    2. INTRODUCTION
    3. BACKGROUND
    4. ANALYSIS OF HEAT MARKETS IN RUSSIA
    5. DESCRIPTION OF MODELS
    6. SOLUTIONS AND RECOMMENDATIONS
    7. FUTURE RESEARCH DIRECTIONS
    8. CONCLUSION
    9. REFERENCES
    10. KEY TERMS AND DEFINITIONS
    11. APPENDIX
  14. Chapter 4: Problems of Modeling and Optimization of Heat Supply Systems
    1. ABSTRACT
    2. INTRODUCTION
    3. BACKGROUND
    4. STATEMENT OF THE OPTIMIZATION PROBLEM OF HEAT SUPPLY SYSTEM PARAMETERS
    5. METHODS FOR SOLVING THE PROBLEM OF HSS PARAMETER OPTIMIZATION
    6. THE USE OF CONCURRENT COMPUTING
    7. THE USE OF MODERN INFORMATION TECHNOLOGIES
    8. SOLUTIONS AND RECOMMENDATIONS
    9. FUTURE RESEARCH DIRECTIONS
    10. CONCLUSION
    11. REFERENCES
    12. KEY TERMS AND DEFINITIONS
  15. Chapter 5: Problems of Modeling and Optimization of Heat Supply Systems
    1. ABSTRACT
    2. INTRODUCTION
    3. BACKGROUND
    4. A TECHNIQUE FOR COMPREHENSIVE ANALYSIS OF CONSUMER HEAT SUPPLY RELIABILITY
    5. SOLUTIONS AND RECOMMENDATIONS
    6. FUTURE RESEARCH DIRECTIONS
    7. CONCLUSION
    8. REFERENCES
    9. KEY TERMS AND DEFINITIONS
  16. Chapter 6: Fuzzy Random Regression-Based Modeling in Uncertain Environment
    1. ABSTRACT
    2. INTRODUCTION
    3. BACKGROUND
    4. MODELING OF MULTI-OBJECTIVE PROBLEM WITH FUZZY RANDOM BASED COEFFICIENT IN UNCERTAINTY
    5. EXPERIMENTAL RESULTS
    6. FUTURE RESEARCH DIRECTIONS
    7. CONCLUSION
    8. ACKNOWLEDGMENT
    9. REFERENCES
    10. ADDITIONAL READING
    11. KEY TERMS AND DEFINITIONS
  17. Chapter 7: A Novel Optimization Algorithm for Transient Stability Constrained Optimal Power Flow
    1. ABSTRACT
    2. 1 INTRODUCTION
    3. 2 MOTIVATION
    4. 3 MATHEMATICAL PROBLEM FORMULATION
    5. 4 TRANSIENT STABILITY ASSESSMENT
    6. 5 TEACHING LEARNING BASED OPTIMIZATION (TLBO)
    7. 6 TLBO ALGORITHM APPLIED TO TSCOPF PROBLEM
    8. 7 SIMULATION RESULTS AND DISCUSSION
    9. 8 CONCLUSION
    10. 9 FUTURE RESEARCH DIRECTIONS
    11. REFERENCES
  18. Chapter 8: Improved Pseudo-Gradient Search Particle Swarm Optimization for Optimal Power Flow Problem
    1. ABSTRACT
    2. INTRODUCTION
    3. OPF PROBLEM FORMULATION
    4. IMPROVED PSEUDO-GRADIENT SEARCH PARTICLE SWARM OPTIMIZATION FOR OPF PROBLEM
    5. NUMERICAL RESULTS
    6. FUTURE RESEARCH DIRECTIONS
    7. CONCLUSION
    8. ACKNOWLEDGMENT
    9. REFERENCES
    10. APPENDIX
  19. Chapter 9: Engineering QoS and Energy Saving in the Delivery of ICT Services
    1. ABSTRACT
    2. INTRODUCTION
    3. ENERGY MANAGEMENT IN TLC SYSTEMS
    4. POWER MANAGEMENT IN DP SYSTEMS
    5. CONCLUSION
    6. ACKNOWLEDGMENT
    7. REFERENCES
  20. Chapter 10: Mathematical Modelling of the Thermal Process in the Aquatic Environment with Considering the Hydrometeorological Condition at the Reservoir-Cooler by Using Parallel Technologies
    1. ABSTRACT
    2. INTRODUCTION
    3. MATHEMATICAL MODELS
    4. NUMERICAL ALGORITHM
    5. RESULTS OF NUMERICAL MODELLING
    6. FUTURE RESEARCH DIRECTIONS
    7. DISCUSSIONS
    8. CONCLUSION
    9. LIMITATION
    10. ACKNOWLEDGMENT
    11. REFERENCES
    12. KEY TERMS AND DEFINITIONS
  21. Chapter 11: A Novel Evolutionary Optimization Technique for Solving Optimal Reactive Power Dispatch Problems
    1. ABSTRACT
    2. 1 INTRODUCTION
    3. 2 PROBLEM DESCRIPTION
    4. 3 BRIEF INTRODUCTION TO BIOGEOGRAPHY-BASED OPTIMIZATION
    5. 4 BBO ALGORITHM
    6. 5 OPPOSITION-BASED LEARNING
    7. 6 ALGORITHM OF QOBBO APPLIED TO ORPD
    8. 7 INPUT PARAMETERS
    9. 8 SIMULATION RESULTS
    10. 9 CONCLUSION
    11. REFERENCES
    12. ADDITIONAL READING
    13. KEY TERMS AND DEFINITIONS
    14. APPENDIX
  22. Chapter 12: Application of Adaptive Tabu Search Algorithm in Hybrid Power Filter and Shunt Active Power Filters
    1. ABSTRACT
    2. INTRODUCTION
    3. BACKGROUND
    4. KEY TERMS (KT)
    5. SYSTEM DESCRIPTION
    6. ADAPTIVE TABU SEARCH ALGORITHM AND OTHER OPTIMIZATION ALGORITHMS
    7. CONTROL THEORY
    8. OPTIMIZATION USING ADAPTIVE TABU SEARCH ALGORITHM
    9. COMPARATIVE EVALUATION USING SIMULATION RESULTS
    10. DISCUSSIONS
    11. RECENT FINDINGS AND FUTURE RESEARCH DIRECTIONS
    12. MERITS AND DEMERITS
    13. CONCLUSION
    14. REFERENCES
    15. APPENDIX
  23. Chapter 13: Recent Techniques to Identify the Stator Fault Diagnosis in Three Phase Induction Motor
    1. ABSTRACT
    2. 1. INTRODUCTION
    3. 2. HARDWARE IMPLEMENTATION
    4. 3. SIMULINK IMPLEMENTATION
    5. 4. CONCLUSION
    6. REFERENCES
  24. Chapter 14: Optimal Reactive Power Dispatch Incorporating TCSC-TCPS Devices Using Different Evolutionary Optimization Techniques
    1. ABSTRACT
    2. 1. INTRODUCTION
    3. 2. MATHEMATICAL PROBLEM FORMULATION
    4. 3. OVERVIEW OF OPTIMIZATION
    5. 4. ALGORITHMS
    6. 5. ALGORITHM APPLIED TO ORPD WITH TCSC AND TCPS DEVICES
    7. 6. SIMULATION RESULTS AND DISCUSSIONS
    8. 7. CONCLUSION
    9. 8. FUTURE RESEARCH DIRECTIONS
    10. ACKNOWLEDGMENT
    11. REFERENCES
    12. APPENDIX
  25. Chapter 15: Scope of Biogeography-Based Optimization for Economic Load Dispatch and Multi-Objective Unit Commitment Problem
    1. ABSTRACT
    2. INTRODUCTION
    3. ECONOMIC LOAD DISPATCH
    4. ECONOMIC LOAD DISPATCH PROBLEM FORMULATION
    5. BIOGEOGRAPHY BASED OPTIMIZATION FOR ECONOMIC LOAD DISPATCH
    6. ECONOMIC LOAD DISPATCH USING BBO
    7. TEST SYSTEMS
    8. RESULTS AND DISCUSSION
    9. SCOPE OF BIOGEOGRAPHY BASED OPTIMIZATION FOR MULTI-OBJECTIVE UNIT COMMITMENT PROBLEM
    10. CONCLUSION
    11. REFERENCES
    12. APPENDIX A
    13. APPENDIX B
    14. APPENDIX C
  26. Chapter 16: Modern Optimization Algorithms and Applications in Solar Photovoltaic Engineering
    1. ABSTRACT
    2. INTRODUCTION
    3. 1. SOLAR ENERGY, PHOTOVOLTAICS
    4. 2. DIFFERENT MPPT TECHNIQUES FOR OPTIMIZATION PHOTOVOLTAIC SYSTEMS
    5. 3. SOLAR ENERGY AND RENEWABLE ENERGY
    6. 4. OPTIMIZATION OF GLOBAL-LOCAL MONITORING AND IMPLEMENTING CLIMATE-WEATHER CONDITIONS FOR SOLAR ENERGY
    7. CONCLUSION
    8. REFERENCES
  27. Compilation of References
  28. About the Contributors