Optimisation of the hybrid renewable energy system by HOMER, PSO and CPSO for the study area. Issue 4 (21st April 2017)

• Record Type: Journal Article
• Authors: Khare, Vikas; Nema, Savita; Baredar, Prashant
• Is Part Of: International journal of sustainable energy. Volume 36:Issue 4(2017)
• Page Start: 326
• Page End: 343
• Publication Date: 2017-04-21
• Subjects: solar energy -- wind energy -- particle swarm optimisation; Solar energy -- Periodicals; Renewable energy sources -- Periodicals; 621.4705
• DOI: 10.1080/14786451.2015.1017500
• Languages: English
• ISSNs: 1478-6451

Abstract

Abstract : This study is based on simulation and optimisation of the renewable energy system of the police control room at Sagar in central India. To analyse this hybrid system, the meteorological data of solar insolation and hourly wind speeds of Sagar in central India (longitude 78°45′ and latitude 23°50′) have been considered. The pattern of load consumption is studied and suitably modelled for optimisation of the hybrid energy system using HOMER software. The results are compared with those of the particle swarm optimisation and the chaotic particle swarm optimisation algorithms. The use of these two algorithms to optimise the hybrid system leads to a higher quality result with faster convergence. Based on the optimisation result, it has been found that replacing conventional energy sources by the solar–wind hybrid renewable energy system will be a feasible solution for the distribution of electric power as a stand-alone application at the police control room. This system is more environmentally friendly than the conventional diesel generator. The fuel cost reduction is approximately 70–80% more than that of the conventional diesel generator.