Publication detail

Discrete Stochastic Control for Energy Management with Photovoltaic Electric Vehicle Charging Station

KHAN, M. SUWAIBA, M. HAQUE, A. KURUKURU, V.

Original Title

Discrete Stochastic Control for Energy Management with Photovoltaic Electric Vehicle Charging Station

Type

journal article in Scopus

Language

English

Original Abstract

This paper develops an intelligent energy management system for optimal operation of grid connected solar powered electric vehicle (EV) charging station at workplace. The optimal operation is achieved by controlling the power flow between the photovoltaic (PV) system, energy storage unit, EV charging station (EVCS) and the grid. The proposed controller is developed considering the PV availability, grid loading and the EV charging load data. This information is modelled using Markov decision process (MDP) to develop a control strategy that eliminates the conventional problem of immediate recharging of energy storage unit after each EV charging by setting a target state of charge (SOC) level. This maximizes the use of PV power for EV charging and minimizes the impact on the grid. To test the operation of the proposed controller, a charging station powered by a 5 kW PV system with 35 kW energy storage unit connected to grid is developed through numerical simulations and experiment. The experiments were carried out for three different conditions under varying irradiance profile and load profile for multiple days. The results estimated the EV load and PV power and optimized the energy storage unit SOC between 0.3-1. Further, the energy management strategy minimized the impact of energy exchange between the grid and charging station by a factor of 2.

Keywords

Bidirectional inverter; electric vehicle charging station; energy management system; photovoltaic power; state of charge

Authors

KHAN, M.; SUWAIBA, M.; HAQUE, A.; KURUKURU, V.

Released

22. 6. 2022

Publisher

China Power Supply Society

ISBN

2475-742X

Periodical

CPSS Transactions on Power Electronics and Applications

Year of study

7

Number

2

State

People's Republic of China

Pages from

216

Pages to

225

Pages count

10

URL

https://file.cpss.org.cn/uploads/tpea/v7n22022/10.24295CPSSTPEA.2022.00020.pdf

BibTex

@article{BUT188025,
  author="Mohammed Ali {Khan} and Mateen {Suwaiba} and Ahteshamul {Haque} and V S Bharath {Kurukuru}",
  title="Discrete Stochastic Control for Energy Management with Photovoltaic Electric Vehicle Charging Station",
  journal="CPSS Transactions on Power Electronics and Applications",
  year="2022",
  volume="7",
  number="2",
  pages="216--225",
  doi="10.24295/CPSSTPEA.2022.00020",
  issn="2475-742X",
  url="https://file.cpss.org.cn/uploads/tpea/v7n22022/10.24295CPSSTPEA.2022.00020.pdf"
}