Power electronics converters for an electric vehicle fast charging station based energy storage system and renewable energy sources: Hybrid approach

• Published in: Optimal control applications & methods 2024-03, Vol.45 (2), p.646-673
• Main Authors: Gopal, Soundra Devi, Jawahar, Rahila, Athmanathan, Radhika, Pandi, Meenalochini
• Format: Article
• Language: English
• Subjects: Algorithms; Decision trees; Electric power demand; electric vehicle; Electric vehicle charging; Electronics; Energy storage; energy storage system; Peak load; power electronics converters; renewable energy source; Renewable energy sources
• ISSN: 0143-2087; 1099-1514
• DOI: 10.1002/oca.3066

A hybrid method is proposed for electric‐vehicle (EV) fast charging station (FCS)‐based power electronics converters with energy‐storage‐systems (ESS) and renewable‐energy‐sources (RESs). The proposed approach is the combination of the fire hawk optimizer (FHO) and gradient boost decision tree (GBDT) algorithms; hence called as FHO‐GBDT approach. The key objective of the FHO‐GBDT approach is to lessen the peak power demand on the grid. The proposed method is incorporated into EV‐FCS with the capability of a mixture of RESs and energy‐storage‐systems. The capacities of energy‐storage aid in improving power‐demand by lessening the demand for peak power. The structure of the energy storage system minimizes the net cost of the DC micro‐grid (MG). The ESS is mostly composed of batteries, which are reused by EVs. The proposed approach and the ESS enable a decrease in obtaining the greatest amount of power possible from the power‐grid (PG). By then, the performance of the proposed approach is simulated in MATLAB, and it is compared to various existing methods. The simulation result shows that the proposed method offers more power than the existing methods. The manuscript introduces the FHO‐GBDT approach for optimizing electric vehicle fast charging stations (EV‐FCS) by combining energy storage systems (ESS) and renewable energy sources (RES). The primary goal is to reduce grid peak power demand, by integrating ESS, mainly comprised of repurposed EV batteries, and RES, the FHO‐GBDT approach effectively lessens grid reliance during peak periods. MATLAB simulations validate its superior power generation performance compared to existing methods, highlighting its potential to enhance EV‐FCS efficiency and ease grid pressure.