A Centralized Power Flow Control Scheme of EV-Connected DC Microgrid to Satisfy Multi-Objective Problems under Several Constraints

Integrating electric vehicles (EVs) into a microgrid improves the efficiency, flexibility, and robustness of microgrids. Unfortunately, the uncertainties of EVs, in terms of their connection/disconnection times and their initial SOC values, make integrating EVs into microgrids a more challenging iss...

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Main Authors: Faris Adnan Padhilah, Kyeong-Hwa Kim
Format: Article
Language:English
Published: MDPI AG 2021-08-01
Series:Sustainability
Subjects:
Online Access:https://www.mdpi.com/2071-1050/13/16/8863
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spelling doaj-466b302fe9874e96a8a72f10ba31621d2021-08-26T14:21:08ZengMDPI AGSustainability2071-10502021-08-01138863886310.3390/su13168863A Centralized Power Flow Control Scheme of EV-Connected DC Microgrid to Satisfy Multi-Objective Problems under Several ConstraintsFaris Adnan Padhilah0Kyeong-Hwa Kim1Department of Electrical and Information Engineering, Seoul National University of Science and Technology, Seoul 01811, KoreaDepartment of Electrical and Information Engineering, Seoul National University of Science and Technology, Seoul 01811, KoreaIntegrating electric vehicles (EVs) into a microgrid improves the efficiency, flexibility, and robustness of microgrids. Unfortunately, the uncertainties of EVs, in terms of their connection/disconnection times and their initial SOC values, make integrating EVs into microgrids a more challenging issue. Contrary to the standard energy management system (EMS), integrating EVs into microgrids raises several multi-objective problems that need to be solved. In this study, a centralized power flow control scheme for an EV-connected DC microgrid (DCMG) is proposed to satisfy these multi-objective problems under several constraints. Two prime objective functions of the DCMG are presented to demonstrate the benefits to both the DCMG system and EV owners. Then, a reliable and optimized DCMG system is constructed to satisfy the selected prime objective function. The operating modes of each agent in the DCMG are defined based on information regarding the EV connection/disconnection status, the initial EV SOC values, the generation power of the wind power agent, the battery SOC levels, and the grid availability. The effectiveness and robustness of the proposed scheme have been validated by in-depth simulations and experimental tests under the uncertainties of DG power, grid availability, electricity price conditions, and EV connections. In addition, the proposed scheme reliably regulates the DC-link voltage without severe transience, even if these uncertainties cause the task of controlling the DC-link voltage to be transferred from one agent to another.https://www.mdpi.com/2071-1050/13/16/8863centralized controlconstraint of electricity priceDC microgridEV-connected microgridmulti-objective problemspower flow control scheme
collection DOAJ
language English
format Article
sources DOAJ
author Faris Adnan Padhilah
Kyeong-Hwa Kim
spellingShingle Faris Adnan Padhilah
Kyeong-Hwa Kim
A Centralized Power Flow Control Scheme of EV-Connected DC Microgrid to Satisfy Multi-Objective Problems under Several Constraints
Sustainability
centralized control
constraint of electricity price
DC microgrid
EV-connected microgrid
multi-objective problems
power flow control scheme
author_facet Faris Adnan Padhilah
Kyeong-Hwa Kim
author_sort Faris Adnan Padhilah
title A Centralized Power Flow Control Scheme of EV-Connected DC Microgrid to Satisfy Multi-Objective Problems under Several Constraints
title_short A Centralized Power Flow Control Scheme of EV-Connected DC Microgrid to Satisfy Multi-Objective Problems under Several Constraints
title_full A Centralized Power Flow Control Scheme of EV-Connected DC Microgrid to Satisfy Multi-Objective Problems under Several Constraints
title_fullStr A Centralized Power Flow Control Scheme of EV-Connected DC Microgrid to Satisfy Multi-Objective Problems under Several Constraints
title_full_unstemmed A Centralized Power Flow Control Scheme of EV-Connected DC Microgrid to Satisfy Multi-Objective Problems under Several Constraints
title_sort centralized power flow control scheme of ev-connected dc microgrid to satisfy multi-objective problems under several constraints
publisher MDPI AG
series Sustainability
issn 2071-1050
publishDate 2021-08-01
description Integrating electric vehicles (EVs) into a microgrid improves the efficiency, flexibility, and robustness of microgrids. Unfortunately, the uncertainties of EVs, in terms of their connection/disconnection times and their initial SOC values, make integrating EVs into microgrids a more challenging issue. Contrary to the standard energy management system (EMS), integrating EVs into microgrids raises several multi-objective problems that need to be solved. In this study, a centralized power flow control scheme for an EV-connected DC microgrid (DCMG) is proposed to satisfy these multi-objective problems under several constraints. Two prime objective functions of the DCMG are presented to demonstrate the benefits to both the DCMG system and EV owners. Then, a reliable and optimized DCMG system is constructed to satisfy the selected prime objective function. The operating modes of each agent in the DCMG are defined based on information regarding the EV connection/disconnection status, the initial EV SOC values, the generation power of the wind power agent, the battery SOC levels, and the grid availability. The effectiveness and robustness of the proposed scheme have been validated by in-depth simulations and experimental tests under the uncertainties of DG power, grid availability, electricity price conditions, and EV connections. In addition, the proposed scheme reliably regulates the DC-link voltage without severe transience, even if these uncertainties cause the task of controlling the DC-link voltage to be transferred from one agent to another.
topic centralized control
constraint of electricity price
DC microgrid
EV-connected microgrid
multi-objective problems
power flow control scheme
url https://www.mdpi.com/2071-1050/13/16/8863
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