Applications of Modern Heuristic Optimization Methods in Power and Energy Systems

KWANG Y. LEE, PhD, is a Professor and Chair of Electrical and Computer Engineering at Baylor University. He is active in the Intelligent Systems Subcommittee and Station Control Subcommittee of the IEEE Power and Energy Society. He served as Editor of IEEE Transactions on Energy Conversion and Associate Editor of IEEE Transactions on Neural Networks and IFAC Journal on Control Engineering Practice. ZITA A. VALE, PhD, is a Full Professor in the Electrical Engineering Department at the School of Engineering of the Polytechnic of Porto and Director of GECAD—Research Group on Intelligent Engineering and Computing for Advanced Innovation and Development. She has published over 800 works, including more than 100 papers in international scientific journals.

• Preface xvContributors xviiList of Figures xxiList of Tables xxxiiiChapter 1 Introduction 11.1 Background 11.2 Evolutionary Computation: A Successful Branch of CI 3Chapter 2 Overview Of Applications In Power And Energy Systems 212.1 Applications to Power Systems 212.2 Smart Grid Application Competition Series 28Chapter 3 Power System Planning And Operation 393.1 Introduction 393.2 Unit Commitment 403.3 Economic Dispatch Based on Genetic Algorithms and Particle Swarm Optimization 563.4 Differential Evolution in Active Power Multi-Objective Optimal Dispatch 873.5 Hydrothermal Coordination 1063.6 Meta-Heuristic Method for Gms Based on Genetic Algorithm 1153.7 Load Flow 1433.8 Artificial Bee Colony Algorithm for Solving Optimal Power Flow 1613.9 OPF Test Bed and Performance Evaluation of Modern Heuristic Optimization 1763.10 Transmission System Expansion Planning 1973.11 Conclusion 210Chapter 4 Power System And Power Plant Control 2274.1 Introduction 2274.2 Load Frequency Control – Optimization and Stability 2284.3 Control of Facts Devices 2444.4 Hybrid of Analytical and Heuristic Techniques for facts Devices 2844.5 Power System Automation 3054.6 Power Plant Control 3344.7 Predictive Control in Large-Scale Power Plant 3554.8 Conclusion 368Chapter 5 Distribution System 3815.1 Introduction 3815.2 Active Distribution Network Planning 3825.3 Optimal Selection of Distribution System Architecture 3925.4 Conservation Voltage Reduction Planning 4185.5 Dynamic Distribution Network Expansion Planning with Demand Side Management 4275.6 GA-Guided Trust-Tech Methodology for Capacitor Placement in Distribution Systems 4675.7 Network Reconfiguration 4895.8 Distribution System Restoration 5105.9 Group-based PSO for System Restoration 5315.10 MVMO for Parameter Identification of Dynamic Equivalents for Active Distribution Networks 5535.11 Parameter Estimation of Circuit Model for Distribution Transformers 573Chapter 6 Integration Of Renewable Energy In Smart Grid 6136.1 Introduction 6136.2 Renewable Energy Sources 6136.3 Operation and Control of Smart Grid 6356.4 Compliance of Reactive Power Requirements in Wind Power Plants 6456.5 Photovoltaic Controller Design 6676.6 Demand Side Management and Demand Response 6806.7 EPSO-Based Solar Power Forecasting 6916.8 Load Demand and Solar Generation Forecast for PV Integrated Smart Buildings 7046.9 Multi-Objective Planning of Public Electric Vehicle Charging Stations 7296.10 Dispatch Modeling Incorporating Maneuver Components, Wind Power, and Electric Vehicles 7416.11 Conclusions 757Chapter 7 Electricity Markets 7757.1 Introduction 7757.2 Bidding Strategies 7777.3 Market Analysis and Clearing 7817.4 Electricity Market Forecasting 7937.5 Simultaneous Bidding of V2G In Ancillary Service Markets Using Fuzzy Optimization 7987.6 Conclusions 812References 812Index 819