Cost-Efficient Energy Management for V2G and G2V Operations in AC/DC Microgrids

Swati Sharma; Anubha Gautam; Gulshan Sharma; Pitshou N. Bokoro

doi:10.1109/ICAST61769.2024.10856479

Cost-Efficient Energy Management for V2G and G2V Operations in AC/DC Microgrids

Swati Sharma
, Anubha Gautam
, Gulshan Sharma
, Pitshou N. Bokoro

Electrical and Electronic Engineering Technology

Jamia Millia Islamia
YMCA University of Science and Technology, Faridabad

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

Abstract

This paper introduces a hierarchical control strategy for energy management in a hybrid AC/DC microgrid, emphasizing the influence of electric vehicle (EV) charging patterns. The power flow and standard operating conditions within the AC and DC segments of the microgrid are controlled at both primary and secondary levels. An EV aggregator model is proposed to manage the EV converter based on a planned schedule, enabling efficient power distribution and improving microgrid stability. To optimize the EV charging process and reduce costs, a non-linear stochastic programming model is employed. The performance of both the microgrid controller and EV aggregator is thoroughly evaluated in a real-time lab setting, demonstrating its effectiveness in managing EV power, enhancing voltage and frequency stability, and optimizing scheduling in both grid-connected and islanded modes.

Original language	English
Title of host publication	Proceedings of the 2024 IEEE 9th International Conference on Adaptive Science and Technology, ICAST 2024
Publisher	IEEE Computer Society
ISBN (Electronic)	9798350385403
DOIs	https://doi.org/10.1109/ICAST61769.2024.10856479
Publication status	Published - 2024
Event	9th IEEE International Conference on Adaptive Science and Technology, ICAST 2024 - Accra, Ghana Duration: 24 Oct 2024 → 26 Oct 2024

Publication series

Name	IEEE International Conference on Adaptive Science and Technology, ICAST
ISSN (Print)	2326-9413
ISSN (Electronic)	2326-9448

Conference

Conference	9th IEEE International Conference on Adaptive Science and Technology, ICAST 2024
Country/Territory	Ghana
City	Accra
Period	24/10/24 → 26/10/24

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 7 Affordable and Clean Energy

Keywords

distributed energy resources
electric vehicle
grid-to-vehicle
microgrids
vehicle-to-grid

ASJC Scopus subject areas

Software
Information Systems
Communication
Computer Networks and Communications
Electrical and Electronic Engineering

Access to Document

10.1109/ICAST61769.2024.10856479

Cite this

Sharma, S., Gautam, A., Sharma, G., & Bokoro, P. N. (2024). Cost-Efficient Energy Management for V2G and G2V Operations in AC/DC Microgrids. In Proceedings of the 2024 IEEE 9th International Conference on Adaptive Science and Technology, ICAST 2024 (IEEE International Conference on Adaptive Science and Technology, ICAST). IEEE Computer Society. https://doi.org/10.1109/ICAST61769.2024.10856479

@inproceedings{ceb7174e06bb43a5805d3b9b92c836b2,

title = "Cost-Efficient Energy Management for V2G and G2V Operations in AC/DC Microgrids",

abstract = "This paper introduces a hierarchical control strategy for energy management in a hybrid AC/DC microgrid, emphasizing the influence of electric vehicle (EV) charging patterns. The power flow and standard operating conditions within the AC and DC segments of the microgrid are controlled at both primary and secondary levels. An EV aggregator model is proposed to manage the EV converter based on a planned schedule, enabling efficient power distribution and improving microgrid stability. To optimize the EV charging process and reduce costs, a non-linear stochastic programming model is employed. The performance of both the microgrid controller and EV aggregator is thoroughly evaluated in a real-time lab setting, demonstrating its effectiveness in managing EV power, enhancing voltage and frequency stability, and optimizing scheduling in both grid-connected and islanded modes.",

keywords = "distributed energy resources, electric vehicle, grid-to-vehicle, microgrids, vehicle-to-grid",

author = "Swati Sharma and Anubha Gautam and Gulshan Sharma and Bokoro, \{Pitshou N.\}",

note = "Publisher Copyright: {\textcopyright} 2024 IEEE.; 9th IEEE International Conference on Adaptive Science and Technology, ICAST 2024 ; Conference date: 24-10-2024 Through 26-10-2024",

year = "2024",

doi = "10.1109/ICAST61769.2024.10856479",

language = "English",

series = "IEEE International Conference on Adaptive Science and Technology, ICAST",

publisher = "IEEE Computer Society",

booktitle = "Proceedings of the 2024 IEEE 9th International Conference on Adaptive Science and Technology, ICAST 2024",

address = "United States",

}

Sharma, S, Gautam, A, Sharma, G & Bokoro, PN 2024, Cost-Efficient Energy Management for V2G and G2V Operations in AC/DC Microgrids. in Proceedings of the 2024 IEEE 9th International Conference on Adaptive Science and Technology, ICAST 2024. IEEE International Conference on Adaptive Science and Technology, ICAST, IEEE Computer Society, 9th IEEE International Conference on Adaptive Science and Technology, ICAST 2024, Accra, Ghana, 24/10/24. https://doi.org/10.1109/ICAST61769.2024.10856479

Cost-Efficient Energy Management for V2G and G2V Operations in AC/DC Microgrids. / Sharma, Swati; Gautam, Anubha; Sharma, Gulshan et al.
Proceedings of the 2024 IEEE 9th International Conference on Adaptive Science and Technology, ICAST 2024. IEEE Computer Society, 2024. (IEEE International Conference on Adaptive Science and Technology, ICAST).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

TY - GEN

T1 - Cost-Efficient Energy Management for V2G and G2V Operations in AC/DC Microgrids

AU - Sharma, Swati

AU - Gautam, Anubha

AU - Sharma, Gulshan

AU - Bokoro, Pitshou N.

PY - 2024

Y1 - 2024

N2 - This paper introduces a hierarchical control strategy for energy management in a hybrid AC/DC microgrid, emphasizing the influence of electric vehicle (EV) charging patterns. The power flow and standard operating conditions within the AC and DC segments of the microgrid are controlled at both primary and secondary levels. An EV aggregator model is proposed to manage the EV converter based on a planned schedule, enabling efficient power distribution and improving microgrid stability. To optimize the EV charging process and reduce costs, a non-linear stochastic programming model is employed. The performance of both the microgrid controller and EV aggregator is thoroughly evaluated in a real-time lab setting, demonstrating its effectiveness in managing EV power, enhancing voltage and frequency stability, and optimizing scheduling in both grid-connected and islanded modes.

AB - This paper introduces a hierarchical control strategy for energy management in a hybrid AC/DC microgrid, emphasizing the influence of electric vehicle (EV) charging patterns. The power flow and standard operating conditions within the AC and DC segments of the microgrid are controlled at both primary and secondary levels. An EV aggregator model is proposed to manage the EV converter based on a planned schedule, enabling efficient power distribution and improving microgrid stability. To optimize the EV charging process and reduce costs, a non-linear stochastic programming model is employed. The performance of both the microgrid controller and EV aggregator is thoroughly evaluated in a real-time lab setting, demonstrating its effectiveness in managing EV power, enhancing voltage and frequency stability, and optimizing scheduling in both grid-connected and islanded modes.

KW - distributed energy resources

KW - electric vehicle

KW - grid-to-vehicle

KW - microgrids

KW - vehicle-to-grid

UR - https://www.scopus.com/pages/publications/85217843639

U2 - 10.1109/ICAST61769.2024.10856479

DO - 10.1109/ICAST61769.2024.10856479

M3 - Conference contribution

AN - SCOPUS:85217843639

T3 - IEEE International Conference on Adaptive Science and Technology, ICAST

BT - Proceedings of the 2024 IEEE 9th International Conference on Adaptive Science and Technology, ICAST 2024

PB - IEEE Computer Society

T2 - 9th IEEE International Conference on Adaptive Science and Technology, ICAST 2024

Y2 - 24 October 2024 through 26 October 2024

ER -

Sharma S, Gautam A, Sharma G , Bokoro PN. Cost-Efficient Energy Management for V2G and G2V Operations in AC/DC Microgrids. In Proceedings of the 2024 IEEE 9th International Conference on Adaptive Science and Technology, ICAST 2024. IEEE Computer Society. 2024. (IEEE International Conference on Adaptive Science and Technology, ICAST). doi: 10.1109/ICAST61769.2024.10856479

Cost-Efficient Energy Management for V2G and G2V Operations in AC/DC Microgrids

Abstract

Publication series

Conference

UN SDGs

Keywords

ASJC Scopus subject areas

Access to Document

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