Anzeige
Erschienen in:
2018 | OriginalPaper | Buchkapitel
5. A PSO-Based Smart Grid Application for Optimum Sizing of Hybrid Renewable Energy Systems
verfasst von : Mohamed Abdelaziz Mohamed, Ali Mohamed Eltamaly
Erschienen in: Modeling and Simulation of Smart Grid Integrated with Hybrid Renewable Energy Systems
Aktivieren Sie unsere intelligente Suche, um passende Fachinhalte oder Patente zu finden.
Wählen Sie Textabschnitte aus um mit Künstlicher Intelligenz passenden Patente zu finden. powered by
Markieren Sie Textabschnitte, um KI-gestützt weitere passende Inhalte zu finden. powered by
Abstract
One of the most important issues in the recent studies is to optimally size the HRES components to meet all load requirements with possible minimum cost and highest reliability. In view of the complexity of optimization of the HRES, it was imperative to discover effective optimization methods ready to get good optimization results especially, for the complex optimization problems. Particle swarm optimization (PSO) was recommended as a standout amongst the most valuable and promising methods for optimizing the HRES because of using the global optimum to locate the best solution [87]. PSO algorithm is designed based on swarm intelligence and used to handle the complex optimization problems [88].