Power Control in Solar Battery Charging Station using Fuzzy Decision Support System for Electric Vehicles

Renewable Energy Sources (RES) are clean and abundantly available in nature. Solar energy is one of the best RES to substitute conventional energy sources. Electric power generated from solar energy is governed by solar irradiance that is stochastic in nature. Attaining a stable power generation from this penetrating unpredictable solar energy is a major issue to be resolved. The surplus power generated from solar Photo Voltaic panels (SPV) can be stored in Energy Storage Devices (ESD) like battery and retrieved if the power generated from SPV is deficient to meet the load demand. Controlling of power flow from SPV panels to load and battery is a challenging task due to variations in source, load and State of Charge (SoC) of battery. In this paper, a Fuzzy Decision Support System (FDSS) is proposed to control power flow between two pools namely pool1 (local system) and pool2 (inter system) and each pool consists of SPV panel, load and ESD. FDSS controls the charging of ESD in case of surplus power generated and retrieving to meet the load in case of deficient power supply from SPV panels and delivering power to the critical load of neighboring pool in case of demand. The load in this paper represents charging of electric vehicle(s).