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Applications of Modern Heuristic Optimization Methods in Power and Energy Systems
Hardcover
Series: IEEE Press Power and Energy Systems
Technology & EngineeringGeneral Science
ISBN13: 9781119602293
Publisher: Wiley-IEEE Press
Published: Apr 14 2020
Pages: 896
Weight: 2.96
Height: 1.81 Width: 6.00 Depth: 9.00
Language: English
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.
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