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Juan Miguel LujanoRojas,Rodolfo DufoLopez,Jose Antonio DominguezNavarro

Genetic Optimization Techniques for Sizing and Management of Modern Power Systems

Genetic Optimization Techniques for Sizing and Management of Modern Power Systems

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  • More about Genetic Optimization Techniques for Sizing and Management of Modern Power Systems


Genetic Optimization Techniques for Sizing and Management of Modern Power Systems is a book that uses genetic algorithms to design and manage energy systems, covering resource estimation, energy systems simulation, distributed generation, electric vehicle charging, and microgrid dimensioning for resilience enhancement.

Format: Paperback / softback
Length: 350 pages
Publication date: 29 September 2022
Publisher: Elsevier Science Publishing Co Inc


Genetic Optimization Techniques for Sizing and Management of Modern Power Systems delves into the intricate design and efficient management of energy systems through the utilization of a genetic algorithm as the primary optimization tool. This comprehensive book encompasses a wide range of topics related to resource estimation and energy systems simulation, providing valuable insights into the field. Within its chapters, the integration of distributed generation, the strategic management of electric vehicle charging, and the dimensioning of microgrids for enhanced resilience are explored in depth, accompanied by detailed discussions and practical solutions employing parallel genetic algorithms. This work serves as a valuable resource for researchers and practitioners engaged in power systems optimization, catering to their needs for systems planning, gaining a deeper understanding of mathematical models available for simulation and assessment, and exploring relevant applications in energy policy.

Weight: 588g
Dimension: 152 x 227 x 21 (mm)
ISBN-13: 9780128238899

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