Abstract

Nowadays, fluctuations of fuel prices and environmental concerns, have promoted power system planners to use maximum possible renewable energy resources in power system. Currently, among renewable energies, the wind and solar energy have significant penetration in power systems. The most important problem of use of solar and wind energy is the stochastic and intermittent nature of renewable energies. Energy storage systems, which have the ability of storing and supplying energy, can be used beside solar and wind power plants and provides the improvement situation of operation to increase the efficiency of these units. In this paper, a Gravitational Search optimization Algorithm (GSA) is used to determine the optimal size of hybrid energy systems by considering the constraints of energy system reliability. Hence, at first, an isolated hybrid test system (Including Photovoltaic Panels (PV), Wind Turbine (WT) and Ocean Renewable Energy Storage (ORES)) is simulated by using mathematical models. Finally, the benefits of proposed approach is concluded by implementing it for a real case study (by using weather data of Kish Island located in Iran) and the numerical results are illustrated.

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