摘要：AbstractThe need for Sierra Leone, like every other country in Sub-Saharan Africa, to improve its electricity supply in order to enhance energy access for all thereby improving economic growth has become imminent. With a small population of about 7 million, the daily supply is not guaranteed and is far below the demand. With the huge renewable energy potential of Solar (1600kWh/m2/year), hydro (more than 2500MW for 27 sites), and biomass, (about 2500 GWh/year) that the country boasts of for its small population, urgent environmentally friendly and cost effective measures have to be taken to improve on the current socio economic conditions. In this work, Multi-objective Particle Swarm Optimization (MOPSO) technique was used to optimally size governmental rooftop and ground-mounted grid connected Photovoltaic (PV) panels and Battery Energy Storage System (BESS) in a bid to reduce the supply deficit in the capital, Freetown. The objectives considered in this contribution are maximizing daily generation and minimizing daily hybrid generation cost.
