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넨그로, 세바로 후세인 부산대학교 대학원 2020 국내석사
The growing human population and the increasing energy needs have produced a serious energy crisis, which has stimulated researchers to look for alternative energy sources. The diffusion of small-scale renewable distributed generations (DG) with micro-grids can be a promising solution to meet environmental obligations. Among the various Renewable Energy Sources (RES) like wind, fuel cell, etc. Solar Photovoltaics (PVs) have seen considerable growth in developing nations because of the cheapest and easiest way to generate electricity, and to mitigate the energy crisis. Various schemes are adopted by the government in different countries for the deployment of Renewable Energy Technologies (RETs) to support the renewable energy producers. The uncertainty and sporadic nature of renewable energy sources (RES) is the main obstacle to their use as autonomous energy sources. In order to overcome this, a storage system is required. This study proposes an optimized strategy for a hybrid photovoltaic (PV) and battery storage system (BSS) connected to a low-voltage grid. In this study, a cost function is formulated to minimize the net cost of electricity purchased from the grid. The charging and discharging of the battery are operated optimally to minimize the defined cost function. Half-hourly electricity consumer load data and solar irradiance data collected from the United Kingdom (UK) for a whole year are utilized in the proposed methodology. Five cases are discussed for a comparative cost analysis of the electricity imported and exported. This model gives certainty that power is exported to the grid when the solar PV generates an excess amount, the battery is smartly utilized during the peak hours to provide energy, and power is purchased when the demand is not met by the battery, or when the demand is higher than the generation. The proposed scheme provides a techno-economic analysis of the combination of a BSS connected with a low-voltage grid, benefitting from the FIT scheme.