Optimisation of the hybrid renewable energy system by HOMER, PSO and CPSO for the study area

• Published in: International journal of sustainable energy 2017-04, Vol.36 (4), p.326-343
• Main Authors: Khare, Vikas, Nema, Savita, Baredar, Prashant
• Format: Article
• Language: English
• Subjects: Algorithms; Diesel fuels; Electric power distribution; Energy consumption; Generators; Hybrid systems; Optimization; particle swarm optimisation; Renewable energy; Renewable resources; Solar energy; wind energy; Wind power
• ISSN: 1478-6451; 1478-646X
• DOI: 10.1080/14786451.2015.1017500

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.