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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