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Microgrid Frequency Stability Enhancement Through Controlling Electric Vehicles Batteries Based on Fuzzy Logic Controller

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The large-scale renewable energy contribution tends to expand vastly; this is due to the numerous benefits of the renewable energy, but renewable resources are intermittent and changeable in nature, which would affect the microgrid frequency stability. In this paper, a renewable and green microgrid is proposed aiming to emission power generation; the microgrid consists of biogas plant, biodiesel plant, photovoltaic system, wind turbines, battery energy storage system, load, and electric vehicles. The main contribution of this paper is providing the frequency stability enhancement of the proposed microgrid through controlling the electric vehicles batteries using fuzzy logic controller based on three main factors, the state of charge of the electric vehicles batteries, the microgrid frequency deviation signal, and the departure time of the vehicle that is set in advance by the owner. This work is discussing three scenarios, in the first one, the batteries of the electric vehicles are going to be charged directly once they get plugged into the charging point, in the second one, the electric vehicles batteries are going to be charged based on fuzzy charging control technique, in the third scenario, the vehicle to grid concept is applied, so the charging and discharging of the electric vehicles batteries are going to be controlled through fuzzy logic controller.
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Biogas Plant; Biodiesel Plant; Electric Vehicles; Frequency Stability; Fuzzy Logic Controller; Photovoltaic; Wind Energy; Zero-Emission Microgrid; Particle Swarm Optimization

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