PV/BESS to support electric vehicle charging station integration in a capacity constrained power distribution grid using MCTLBO

Abstract

Solar photovoltaic (PV) systems with backup battery energy storage system (BESS) mitigate power system related issues like ever-increasing load demand, power loss, voltage deviation and need for power system up-gradation as integration of electric vehicles (EVs)increases load while charging. This paper investigates the improvements of the system parameters like voltage, power loss and loading capabilities of IEEE-69 bus radial distribution system (RDS) with PV/BESS-powered EV charging stations (CSs). The RDS is divided into different zones depending on the total no. of EVs, EV charging time and available CS service time. One CS is assigned to each zone. An energy management strategy is developed to direct the power flow among the CS, PV panel, BESS, and the utility grid according to time of use of electricity price. The BESS is allowed to sell excess energy stored to the utility grid during peak hours.Multi-course teaching learning based multi-objective optimization (MCTLBO) is used to optimize the size of PV/BESS system and the locations of CSs in each zone in order to minimize both the annual CS operating cost and the system active power loss. The results validate the use of optimal PV/BESS to power CS for technoeconomic improvement of the system.

Intelligent algorithm-based efficient planning of electric vehicle charging station: A case study of metropolitan city of India

“…The results prove the effectiveness of simultaneous allocation of RESs and EV parking lots over the independent allocation of distributed energy resources and EV parking lots. In [32], author proposes the improvements of voltage profile, power loss and loading capabilities of IEEE-69 bus radial distribution system with PV/battery energy storage system (BESS)-powered EV charging stations. An energy management strategy has been introduced to direct the power flow among the EVCS, solar panel, BESS and the utility grid based on time of use of electricity price.…”

Placement of electric vehicle charging station and solar distributed generation in distribution system considering uncertainties

“…Optimal scheduling of G2V and V2G has been performed and CS's locations have been found out in [53]. The battery energy storages have been considered along with EV and EVCS in [54][55][56][57]. Researchers in [58][59][60] have been used various optimization techniques to plan the CS and distributed renewable generation by minimizing the power loss, cost, etc.…”