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Optimal Sizing of Grid-connected Renewable Energy System in Freetown Sierra Leone

机译：弗里敦塞拉利昂网格连接可再生能源系统的最佳尺寸

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The 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.
机译：与撒哈拉以南非洲的其他国家一样，塞拉利昂的需求，以改善其电力供应，以提高能源进入，从而提高经济增长迫在眉睫。人口较少约700万，每日供应量不保证，远远低于需求。随着太阳能（1600kWh / M2 /年）的巨大可再生能源潜力，Hydro（27个站点超过2500mW），和生物量，（约2500 GWH /年），该国吹嘘其小人口，紧急环保必须采取成本效益措施来改善目前的社会经济条件。在这项工作中，多目标粒子群优化（MOPSO）技术用于最佳尺寸的政府屋顶和接地网格连接的光伏（PV）板和电池储能系统（BESS），以降低供应缺陷首都，弗里敦。在这一贡献中考虑的目标最大化每日发达，最小化每日混合生成成本。

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