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

Content Provider	IET Digital Library
Author	Hassan, Ahmed Saadawi, Magdi Kandil, Mahmoud Saeed, Mohammed
Abstract	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.
Starting Page	474
Ending Page	483
Page Count	10
ISSN	17521416
Volume Number	9
e-ISSN	17521424
Issue Number	Issue 5, Jul (2015)
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/iet-rpg/9/5
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/10.1049/iet-rpg.2014.0170
Journal	IET Renewable Power Generation
Publisher Date	2015-02-06
Access Restriction	Open
Rights Holder	© The Institution of Engineering and Technology
Subject Keyword	Communication And Information Technology Centre Computational Complexity Convergence Speed Egypt Grid Connected PV-wind System Hybrid Power System Hybrid PV-wind-battery Power Generation System Load Supply Mansoura University Modified Particle Swarm Optimisation Technique MPSO Technique Optimisation Technique Particle Swarm Optimisation Photovoltaic Power System Power Grid Secondary Cell Small Renewable Energy System Solar Power Stations Stand-alone System Stochastic Optimisation Stochastic Programming Wind Power Plant
Content Type	Text
Resource Type	Article
Subject	Renewable Energy, Sustainability and the Environment

Sl.	Authority	Responsibilities	Communication Details
1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
5	Website/Portal (Helpdesk)	Queries regarding NDLI and its services	support@ndl.gov.in
6	Contents and Copyright Issues	Queries related to content curation and copyright issues	content@ndl.gov.in
7	National Digital Library of India Club (NDLI Club)	Queries related to NDLI Club formation, support, user awareness program, seminar/symposium, collaboration, social media, promotion, and outreach	clubsupport@ndl.gov.in
8	Digital Preservation Centre (DPC)	Assistance with digitizing and archiving copyright-free printed books	dpc@ndl.gov.in
9	IDR Setup or Support	Queries related to establishment and support of Institutional Digital Repository (IDR) and IDR workshops	idr@ndl.gov.in

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