Work

Optimal capacity determination of photovoltaic and energy storage systems for electric vehicle charging stations

Year: 2024

Type: article

Abstract: Methods of increasing the profits of electric vehicle (EV) charging stations (ECSs) have been extensively investigated, with the integrated operation of photovoltaic (PV) and energy storage systems (ESSs) in ECS gaining attention. In this study, the optimal capacities of ESS and the PV system in ECS are determined by independently modeling a power conversion system (PCS) in the ESS design. We analyzed the effect of independently modeling the PCS capacity rather than assuming a certain value for the obtained ECS profit and the optimal capacity of PV and ESS. The nonlinearity caused by the multiplication of variables during PCS modeling was solved using the BIG-M method. A case study was performed to verify the effect of the proposed model on profit increase and optimal capacity determination. The impact of PCS modeling on the results was verified by changing the cost of ESS, load pattern of ECS, and electricity rate. The economic evaluation confirmed the effect of PCS modeling in ESS design on the determination of the optimal capacity of each facility.

Source: Journal of Energy Storage

DOI: 10.1016/j.est.2024.114730

Authors: Seung-Ryong Jang, Ah-Yun Yoon, Sung-Soo Kim

Institution: Tech University of Korea

Language: English

Topic: Electric Vehicles and Infrastructure

Subfield: Electrical and Electronic Engineering

Field: Engineering

Domain: Physical Sciences

SDGs: Affordable and clean energy, Industry, innovation and infrastructure, Climate action

Open Access status: hybrid

Estimated APC paid: $3,030