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Home / Genetic Optimization Techniques for Sizing and Management of Modern Power Systems
Genetic Optimization Techniques for Sizing and Management of Modern Power Systems
Paperback

Genetic Optimization Techniques for Sizing and Management of Modern Power Systems

Juan Miguel Lujano Rojas (Lecturer in Electrical Engineering, INESC, Lisbon Portugal, currently on secondment to Ho Chi Minh University, Ho Chi Minh, Vietnam),Rodolfo Dufo Lopez (Professor of Electrical Engineering, University of Zaragoza, Zaragoza, Spain),Jose Antonio Dominguez Navarro (Lecturer in Electrical Engineering, University of Zaragoza, Zaragoza, Spain),Rodolfo Lopez (Professor of Electrical Engineering, University of Zaragoza, Zaragoza, Spain),Jose Navarro (Lecturer in Electrical Engineering, University of Zaragoza, Zaragoza, Spain)
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Genetic Optimization Techniques for Sizing and Management of Modern Power Systems explores the design and management of energy systems using a genetic algorithm as the primary optimization technique. Coverage ranges across topics related to resource estimation and energy systems simulation. Chapters address the integration of distributed generation, the management of electric vehicle charging, and microgrid dimensioning for resilience enhancement with detailed discussion and solutions using parallel genetic algorithms. The work is suitable for researchers and practitioners working in power systems optimization requiring information for systems planning purposes, seeking knowledge on mathematical models available for simulation and assessment, and relevant applications in energy policy.

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MORE INFO
Format
Paperback
Publisher
Elsevier Science Publishing Co Inc
Country
United States
Date
1 November 2022
Pages
256
ISBN
9780128238899

Genetic Optimization Techniques for Sizing and Management of Modern Power Systems explores the design and management of energy systems using a genetic algorithm as the primary optimization technique. Coverage ranges across topics related to resource estimation and energy systems simulation. Chapters address the integration of distributed generation, the management of electric vehicle charging, and microgrid dimensioning for resilience enhancement with detailed discussion and solutions using parallel genetic algorithms. The work is suitable for researchers and practitioners working in power systems optimization requiring information for systems planning purposes, seeking knowledge on mathematical models available for simulation and assessment, and relevant applications in energy policy.

Read More
Format
Paperback
Publisher
Elsevier Science Publishing Co Inc
Country
United States
Date
1 November 2022
Pages
256
ISBN
9780128238899

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