Classical and Recent Aspects of Power System Optimization presents conventional and meta-heuristic optimization methods and algorithms for power system studies. The classic aspects of optimization in power systems, such as optimal power flow, economic dispatch, unit commitment and power quality optimization are covered, as are issues relating to distributed generation sizing, allocation problems, scheduling of renewable resources, energy storage, power reserve based problems, efficient use of smart grid capabilities, and protection studies in modern power systems. The book brings together innovative research outcomes, programs, algorithms and approaches that consolidate the present state and future challenges for power.
1. Cover image - p. iv 2. Title page - p. iv 3. Table of Contents - p. iv 4. Copyright - p. iv 5. Dedication - p. v 6. Contributors - p. v 7. Preface - p. xxi 8. Chapter 1: Optimization Methods Applied to Power Systems: Current Practices and Challenges - p. xxvii 9. Chapter 2: Application of Robust Optimization Method to Power System Problems - p. 18 10. Chapter 3: Application of New Fast, Efficient-Self adjusting PSO-Search Algorithms in Power Systems' Studies - p. 32 11. Chapter 4: Implementation of Radial Movement Optimization (RMO) Algorithm for Solving Economic Dispatch and Fixed Head Hydrothermal Generation Scheduling - p. 61 12. Chapter 5: An Intelligent Approach Based on Metaheuristic for Generator Maintenance Scheduling - p. 97 13. Chapter 6: Decomposition Methods for Distributed Optimal Power Flow: Panorama and Case Studies of the DC Model - p. 136 14. Chapter 7: Optimal Power Flow Using Recent Optimization Techniques - p. 155 15. Chapter 8: Optimal Conductor Selection of Radial Distribution Feeders: An Overview and New Application Using Grasshopper Optimization Algorithm - p. 183 16. Chapter 9: Classical and Recent Aspects of Active Power Filters for Power Quality Improvement - p. 217 17. Chapter 10: Optimization-Based Power Capacitor Model Parameterization for Decision Support in Power Distribution Systems - p. 254 18. Chapter 11: Two-Level Multidimensional Enhanced Melody Search Algorithm for Dynamic Planning of MV Open-Loop Distribution Networks - p. 284 19. Chapter 12: Demand-Side Management—Recent Aspects and Challenges of Optimization for an Efficient and Robust Demand-Side Management - p. 330 20. Chapter 13: Demand-Side Management in Micro-Grids and Distribution Systems: Handling System Uncertainties and Scalabilities - p. 360 21. Chapter 14: Impact of Integrated Optimization of Independent Energy Carriers on Power Systems - p. 387 22. Chapter 15: Optimal Management of Hydrothermal-Based Micro-Grids Employing Robust Optimization Method - p. 405 23. Chapter 16: Geomagnetically Induced Currents: A Threat to Modern Power Systems - p. 420 24. Chapter 17: Application of Evolutionary Algorithm for Multiobjective Transformer Design Optimization - p. 462 25. Chapter 18: A Multiobjective Teaching-Learning Algorithm for Power Losses Reduction in Power Systems - p. 504 26. Index - p. 543
Classical and Recent Aspects of Power System Optimization presents conventional and meta-heuristic optimization methods and algorithms for power system studies. The classic aspects of optimization in power systems, such as optimal power flow, economic dispatch, unit commitment and power quality optimization are covered, as are issues relating to distributed generation sizing, allocation problems, scheduling of renewable resources, energy storage, power reserve based problems, efficient use of smart grid capabilities, and protection studies in modern power systems. The book brings together innovative research outcomes, programs, algorithms and approaches that consolidate the present state and future challenges for power.
1. Cover image - p. iv 2. Title page - p. iv 3. Table of Contents - p. iv 4. Copyright - p. iv 5. Dedication - p. v 6. Contributors - p. v 7. Preface - p. xxi 8. Chapter 1: Optimization Methods Applied to Power Systems: Current Practices and Challenges - p. xxvii 9. Chapter 2: Application of Robust Optimization Method to Power System Problems - p. 18 10. Chapter 3: Application of New Fast, Efficient-Self adjusting PSO-Search Algorithms in Power Systems' Studies - p. 32 11. Chapter 4: Implementation of Radial Movement Optimization (RMO) Algorithm for Solving Economic Dispatch and Fixed Head Hydrothermal Generation Scheduling - p. 61 12. Chapter 5: An Intelligent Approach Based on Metaheuristic for Generator Maintenance Scheduling - p. 97 13. Chapter 6: Decomposition Methods for Distributed Optimal Power Flow: Panorama and Case Studies of the DC Model - p. 136 14. Chapter 7: Optimal Power Flow Using Recent Optimization Techniques - p. 155 15. Chapter 8: Optimal Conductor Selection of Radial Distribution Feeders: An Overview and New Application Using Grasshopper Optimization Algorithm - p. 183 16. Chapter 9: Classical and Recent Aspects of Active Power Filters for Power Quality Improvement - p. 217 17. Chapter 10: Optimization-Based Power Capacitor Model Parameterization for Decision Support in Power Distribution Systems - p. 254 18. Chapter 11: Two-Level Multidimensional Enhanced Melody Search Algorithm for Dynamic Planning of MV Open-Loop Distribution Networks - p. 284 19. Chapter 12: Demand-Side Management—Recent Aspects and Challenges of Optimization for an Efficient and Robust Demand-Side Management - p. 330 20. Chapter 13: Demand-Side Management in Micro-Grids and Distribution Systems: Handling System Uncertainties and Scalabilities - p. 360 21. Chapter 14: Impact of Integrated Optimization of Independent Energy Carriers on Power Systems - p. 387 22. Chapter 15: Optimal Management of Hydrothermal-Based Micro-Grids Employing Robust Optimization Method - p. 405 23. Chapter 16: Geomagnetically Induced Currents: A Threat to Modern Power Systems - p. 420 24. Chapter 17: Application of Evolutionary Algorithm for Multiobjective Transformer Design Optimization - p. 462 25. Chapter 18: A Multiobjective Teaching-Learning Algorithm for Power Losses Reduction in Power Systems - p. 504 26. Index - p. 543
