Optimal Placement of Charging Station and Distributed Generator along with Scheduling in Distribution System using Arithmetic Optimization Algorithm

Naresh Kumar Golla, SURESH KUMAR SUDABATTULA, Velamuri Suresh

Abstract


Transport sector electrification is probably the most viable choice for minimizing transport emissions and so Plug-in Electric Vehicle (PEV) growth is expected to increase dramatically for the decades to come. The massive use of electric vehicles corresponds to a rise in the number of charging stations, which has a significant effect on the electrical grid. The integration of Distributed Generators (DGs) with the EV charging station and the optimal scheduling of DGs in the system for an intermittent load demand is a major problem. In this paper an optimal placement of EV Charging Station (EVCS) and DGs in IEEE 33 bus system was proposed by using Loss Sensitivity Factor (LSF) approach and optimal Scheduling of DGs for a 24-hour load profile is carried out by Arithmetic Optimization Algorithm (AOA). The proposed hybrid model attempts to schedule both the EVs and DGs for the reduction of the losses in the power and achieve an improved voltage profile. Due to the stochastic nature of EV load demand and DGs in the distribution system, several analyses were conducted to analyze the persistence of the proposed methodology. Finally, the optimal scheduling of DG in 24-hour load setting for an EEE 33 bus system is presented

Keywords


Electric Vehicle Charging Station (EVCS); Distributed Generator (DG); Arithmetic Optimization Algorithm (AOA); Optimal Scheduling

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References


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DOI (PDF): https://doi.org/10.20508/ijrer.v12i2.12964.g8480

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