Applications of modern heuristic optimization methods in power and energy systems 1st edition by Lee Kwang, Zita Vale 1119602316 9781119602316

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ISBN-10 :  1119602316 

ISBN-13 : 9781119602316

Author : Lee Kwang Y., Zita A. Vale 

Reviews state-of-the-art technologies in modern heuristic optimization techniques and presents case studies showing how they have been applied in complex power and energy systems problems Written by a team of international experts, this book describes the use of metaheuristic applications in the analysis and design of electric power systems. This includes a discussion of optimum energy and commitment of generation (nonrenewable & renewable) and load resources during day-to-day operations and control activities in regulated and competitive market structures, along with transmission and distribution systems. Applications of Modern Heuristic Optimization Methods in Power and Energy Systems begins with an introduction and overview of applications in power and energy systems before moving on to planning and operation, control, and distribution. Further chapters cover the integration of renewable energy and the smart grid and electricity markets. The book finishes with final conclusions drawn by the editors. Applications of Modern Heuristic Optimization Methods in Power and Energy Systems: Explains the application of differential evolution in electric power systems’ active power multi-objective optimal dispatch Includes studies of optimization and stability in load frequency control in modern power systems Describes optimal compliance of reactive power requirements in near-shore wind power plants Features contributions from noted experts in the field Ideal for power and energy systems designers, planners, operators, and consultants, Applications of Modern Heuristic Optimization Methods in Power and Energy Systems will also benefit engineers, software developers, researchers, academics, and students.

Applications of modern heuristic optimization methods in power and energy systems 1st Table of contents:

CHAPTER 1: INTRODUCTION
1.1 BACKGROUND
1.2 EVOLUTIONARY COMPUTATION: A SUCCESSFUL BRANCH OF CI
REFERENCES
CHAPTER 2: OVERVIEW OF APPLICATIONS IN POWER AND ENERGY SYSTEMS
2.1 APPLICATIONS TO POWER SYSTEMS
2.2 SMART GRID APPLICATION COMPETITION SERIES
REFERENCES
CHAPTER 3: POWER SYSTEM PLANNING AND OPERATION
3.1 INTRODUCTION
3.2 UNIT COMMITMENT
3.3 ECONOMIC DISPATCH BASED ON GENETIC ALGORITHMS AND PARTICLE SWARM OPTIMIZATION
3.4 DIFFERENTIAL EVOLUTION IN ACTIVE POWER MULTI‐OBJECTIVE OPTIMAL DISPATCH
ACKNOWLEDGEMENT
3.5 HYDROTHERMAL COORDINATION
ACKNOWLEDGEMENT
3.6 META‐HEURISTIC METHOD FOR GMS BASED ON GENETIC ALGORITHM
ACKNOWLEDGEMENT
3.7 LOAD FLOW
ACKNOWLEDGEMENT
3.8 ARTIFICIAL BEE COLONY ALGORITHM FOR SOLVING OPTIMAL POWER FLOW
ACKNOWLEDGEMENT
3.9 OPF TEST BED AND PERFORMANCE EVALUATION OF MODERN HEURISTIC OPTIMIZATION
ACKNOWLEDGMENT
3.10 TRANSMISSION SYSTEM EXPANSION PLANNING
3.11 CONCLUSION
REFERENCES
CHAPTER 4: POWER SYSTEM AND POWER PLANT CONTROL
4.1 INTRODUCTION
4.2 LOAD FREQUENCY CONTROL – OPTIMIZATION AND STABILITY
4.3 CONTROL OF FACTS DEVICES
4.4 HYBRID OF ANALYTICAL AND HEURISTIC TECHNIQUES FOR FACTS DEVICES
4.5 POWER SYSTEM AUTOMATION
4.6 POWER PLANT CONTROL
4.7 PREDICTIVE CONTROL IN LARGE‐SCALE POWER PLANT
4.8 CONCLUSION
REFERENCES
CHAPTER 5: DISTRIBUTION SYSTEM
5.1 INTRODUCTION
5.2 ACTIVE DISTRIBUTION NETWORK PLANNING
5.3 OPTIMAL SELECTION OF DISTRIBUTION SYSTEM ARCHITECTURE
5.4 CONSERVATION VOLTAGE REDUCTION PLANNING
5.5 DYNAMIC DISTRIBUTION NETWORK EXPANSION PLANNING WITH DEMAND SIDE MANAGEMENT
ACKNOWLEDGEMENT
APPENDIX A
5.6 GA‐GUIDED TRUST‐TECH METHODOLOGY FOR CAPACITOR PLACEMENT IN DISTRIBUTION SYSTEMS
5.7 NETWORK RECONFIGURATION
5.8 DISTRIBUTION SYSTEM RESTORATION
ACKNOWLEDGEMENT
5.9 GROUP‐BASED PSO FOR SYSTEM RESTORATION
5.10 MVMO FOR PARAMETER IDENTIFICATION OF DYNAMIC EQUIVALENTS FOR ACTIVE DISTRIBUTION NETWORKS
5.11 PARAMETER ESTIMATION OF CIRCUIT MODEL FOR DISTRIBUTION TRANSFORMERS
REFERENCES
CHAPTER 6: INTEGRATION OF RENEWABLE ENERGY IN SMART GRID
6.1 INTRODUCTION
6.2 RENEWABLE ENERGY SOURCES
6.3 OPERATION AND CONTROL OF SMART GRID
6.4 COMPLIANCE OF REACTIVE POWER REQUIREMENTS IN WIND POWER PLANTS
6.5 PHOTOVOLTAIC CONTROLLER DESIGN
6.6 DEMAND SIDE MANAGEMENT AND DEMAND RESPONSE
6.7 EPSO‐BASED SOLAR POWER FORECASTING
6.8 LOAD DEMAND AND SOLAR GENERATION FORECAST FOR PV INTEGRATED SMART BUILDINGS
6.9 MULTI‐OBJECTIVE PLANNING OF PUBLIC ELECTRIC VEHICLE CHARGING STATIONS
6.10 DISPATCH MODELING INCORPORATING MANEUVER COMPONENTS, WIND POWER, AND ELECTRIC VEHICLES
6.11 CONCLUSIONS
REFERENCES
CHAPTER 7: ELECTRICITY MARKETS
7.1 INTRODUCTION
7.2 BIDDING STRATEGIES
7.3 MARKET ANALYSIS AND CLEARING
7.4 ELECTRICITY MARKET FORECASTING
7.5 SIMULTANEOUS BIDDING OF V2G IN ANCILLARY SERVICE MARKETS USING FUZZY OPTIMIZATION
ACKNOWLEDGEMENT
7.6 CONCLUSIONS

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Tags: Applications, modern heuristic, optimization, energy systems, Lee Kwang, Zita Vale