Penetration levels of electric vehicle charging stations and renewable energy sources in distribution power systems for the energy loss reduction and voltage improvement

Minh Quan Duong, Thi Minh Chau Le, Trung Hieu Trinh

Abstract


The paper applies Equilibrium Optimizer (EO) and War strategy optimization algorithm (WSO) for optimizing the site of electric vehicle charging stations (EVCSs) and renewableenergy systems (SPSs) in the IEEE 69-node distribution network. The study implements two study cases: 1) Minimize the power loss without voltage constraint and without SPSs; 2) Minimize the total added power of SPSs constraining the minimum voltage of 0.925 and 0.95 per unit (Pu). Three power demand levels from EVCSs are simulated by running EO and WSO, including 1,728.5, 3,011.5, and 4,740 kW. The increased power demand levels result in a high voltage drop and high power loss. So, the distribution network becomes worse regarding technical and economic factors. The voltage profile is improved by using the minimum generation from SPSs, and the power loss is also decreased. The power loss is about 225 kW, and the minimum voltage is around 0.9 Pu for different power demand levels without SPSs. However, the power loss is reduced significantly, under 120 kW, and minimum voltage increases to higher than 0.925 and 0.95 when using SPSs. For the three power demand levels, the added power of SPSs is under 350 kW for the minimum voltage of 0.925 Pu and 1,000 kW for the minimum voltage of 0.95 Pu. So, using SPSs is very beneficial for building EVCSs in DNs, although the power demand for EVCSs is very high.      

Keywords


Electric vehicles; power loss; voltage drop; renewable energy systems; charging stations; Equilibrium Optimizer.

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References


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DOI (PDF): https://doi.org/10.20508/ijrer.v16i1.15081.g9151

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