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

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216305%3A26220%2F22%3APU150900" target="_blank" >RIV/00216305:26220/22:PU150900 - isvavai.cz</a>

Výsledek na webu

<a href="https://file.cpss.org.cn/uploads/tpea/v7n22022/10.24295CPSSTPEA.2022.00020.pdf" target="_blank" >https://file.cpss.org.cn/uploads/tpea/v7n22022/10.24295CPSSTPEA.2022.00020.pdf</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.24295/CPSSTPEA.2022.00020" target="_blank" >10.24295/CPSSTPEA.2022.00020</a>

Jazyk výsledku

angličtina

Název v původním jazyce

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

Popis výsledku v původním jazyce

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.

Název v anglickém jazyce

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

Popis výsledku anglicky

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.

Druh

J_SC - Článek v periodiku v databázi SCOPUS

CEP obor

—

OECD FORD obor

20200 - Electrical engineering, Electronic engineering, Information engineering

Projekt

—

Návaznosti

O - Projekt operacniho programu

Rok uplatnění

2022

Kód důvěrnosti údajů

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Název periodika

CPSS Transactions on Power Electronics and Applications

ISSN

2475-742X

e-ISSN

—

Svazek periodika

7

Číslo periodika v rámci svazku

2

Stát vydavatele periodika

CN - Čínská lidová republika

Počet stran výsledku

10

Strana od-do

216-225

Kód UT WoS článku

—

EID výsledku v databázi Scopus

2-s2.0-85147845295