Vikas Khare

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

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.

Prediction, investigation, and assessment of novel tidal–solar hybrid renewable energy system in India by different techniques

ABSTRACT In the present scenario, all over the world, electrical energy is produced by conventional or non-renewable energy supply system. These systems produce a large amount of atmospheric pollution. This predicament is principally conquered by the concentrated use of alternative or renewable energy system. The research work reported in the paper shows the profoundness of performance prediction and investigation of solar–tidal integrated renewable energy system using a different optimisation technique. The works on macro-level include a novel tidal–solar system in the coastal area of Cochin, India and modelling of tidal-solar energy system by the HOMER software. Duration of the project is assessed by a project management technique critical path method, optimisation of the HOMER software cost assessment result for the study area using teaching, learning-based optimisation, cuckoo optimisation and through the grasshopper technique, further reliability and life-cycle analysis of the system and result are validated by regression analysis.