Skip to main content

Genetic Optimization Techniques for Sizing and Management of Modern Power Systems

  • 1st Edition - September 29, 2022
  • Authors: Juan Miguel Lujano Rojas, Rodolfo Dufo Lopez, Jose Antonio Dominguez Navarro
  • Language: English
  • Paperback ISBN:
    9 7 8 - 0 - 1 2 - 8 2 3 8 8 9 - 9
  • eBook ISBN:
    9 7 8 - 0 - 1 2 - 8 2 4 2 0 6 - 3

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 primar… Read more

BACK-TO-SCHOOL

Fuel your confidence!

Up to 25% off learning resources

Elsevier academics book covers
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.

Related books