Modified particle swarm optimisation technique for optimal design of small renewable energy system supplying a specific load at Mansoura University

Autor:	Ahmed Hassan, Mahmoud Saber Ahmed Kandil, Magdi Saadawi, Mohammed Saeed
Rok vydání:	2015
Předmět:	Battery (electricity) Optimal design Engineering Renewable Energy Sustainability and the Environment business.industry Electrical engineering Particle swarm optimization Grid Automotive engineering Sizing Stochastic programming Renewable energy Convergence (routing) business
Zdroj:	IET Renewable Power Generation. 9:474-483
ISSN:	1752-1424 1752-1416
Popis:	Recently, a special attention has been attributed to the renewable energy in Egypt. Optimal sizing of small renewable energy system has a very important role in the use of renewable energy effectively and economically. Particle swarm optimisation (PSO) is a popular stochastic optimisation method that has found in wide applications. Conventional PSO suffers from high computational complexity and slow convergence speed. This study presents a modified PSO (MPSO) technique to optimise the capacity sizes of different components of hybrid PV/wind/battery power generation system for supplying communication and information technology centre in Mansoura University-Egypt. A feasibility study for two options is investigated; stand-alone system composed of PV/wind/battery combination and a grid connected PV/wind system. The proposed MPSO technique proves faster convergence speed and shorter computational time as compared with conventional techniques.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_________::d5992b2a5ef8ef6865887408cb433945 https://doi.org/10.1049/iet-rpg.2014.0170 Zobrazit plný text záznamu Plný text