Transmission Loss-Aware Peer-to-Peer Energy Trading in Networked Microgrids

Hailing Zhu; Khmaies Ouahada; Adnan M. Abu-Mahfouz

doi:10.1109/IECON49645.2022.9968951

Transmission Loss-Aware Peer-to-Peer Energy Trading in Networked Microgrids

Hailing Zhu
, Khmaies Ouahada
, Adnan M. Abu-Mahfouz

Electrical and Electronic Engineering Science

University of Johannesburg
Council for Scientific and Industrial Research

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

1 Citation (Scopus)

Abstract

Peer-to-peer (P2P) energy trading built on a smart information system in networked microgrids (MGs) is an emerging economic approach to facilitate energy sharing among networked MGs to achieve mutual cost-effective operation and improve the reliability and stability of energy supply service. Such a distributed market urges the need for an efficient energy trading strategy that incentivizes self-interested MGs to participate in energy trading. In this paper, we propose a distributed real-time P2P energy trading strategy that integrates energy trading into energy management and enables MGs with renewable energy sources (RESs) and energy storage systems (ESSs) to manage their storage scheduling, energy supply and energy trading in a dynamic manner. Jointly considering the randomness of renewable energy generation, the time-dependent load demand, the operational constraints of ESSs and the distance-dependent energy transmission losses associated with energy exchange, the proposed energy control and trading mechanism minimizes the time average operational costs of individual MGs while reducing energy transmission losses within the system.

Original language	English
Title of host publication	IECON 2022 - 48th Annual Conference of the IEEE Industrial Electronics Society
Publisher	IEEE Computer Society
ISBN (Electronic)	9781665480253
DOIs	https://doi.org/10.1109/IECON49645.2022.9968951
Publication status	Published - 2022
Event	48th Annual Conference of the IEEE Industrial Electronics Society, IECON 2022 - Brussels, Belgium Duration: 17 Oct 2022 → 20 Oct 2022

Publication series

Name	IECON Proceedings (Industrial Electronics Conference)
Volume	2022-October
ISSN (Print)	2162-4704
ISSN (Electronic)	2577-1647

Conference

Conference	48th Annual Conference of the IEEE Industrial Electronics Society, IECON 2022
Country/Territory	Belgium
City	Brussels
Period	17/10/22 → 20/10/22

UN SDGs

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

SDG 7 Affordable and Clean Energy

Keywords

Energy Management
Energy Storage Management
Energy Trading
Lyapunov Optimization
Microgrids
Peer-to-Peer
Smartgrids

ASJC Scopus subject areas

Control and Systems Engineering
Electrical and Electronic Engineering

Access to Document

10.1109/IECON49645.2022.9968951

Cite this

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title = "Transmission Loss-Aware Peer-to-Peer Energy Trading in Networked Microgrids",

abstract = "Peer-to-peer (P2P) energy trading built on a smart information system in networked microgrids (MGs) is an emerging economic approach to facilitate energy sharing among networked MGs to achieve mutual cost-effective operation and improve the reliability and stability of energy supply service. Such a distributed market urges the need for an efficient energy trading strategy that incentivizes self-interested MGs to participate in energy trading. In this paper, we propose a distributed real-time P2P energy trading strategy that integrates energy trading into energy management and enables MGs with renewable energy sources (RESs) and energy storage systems (ESSs) to manage their storage scheduling, energy supply and energy trading in a dynamic manner. Jointly considering the randomness of renewable energy generation, the time-dependent load demand, the operational constraints of ESSs and the distance-dependent energy transmission losses associated with energy exchange, the proposed energy control and trading mechanism minimizes the time average operational costs of individual MGs while reducing energy transmission losses within the system.",

keywords = "Energy Management, Energy Storage Management, Energy Trading, Lyapunov Optimization, Microgrids, Peer-to-Peer, Smartgrids",

author = "Hailing Zhu and Khmaies Ouahada and Abu-Mahfouz, \{Adnan M.\}",

note = "Publisher Copyright: {\textcopyright} 2022 IEEE.; 48th Annual Conference of the IEEE Industrial Electronics Society, IECON 2022 ; Conference date: 17-10-2022 Through 20-10-2022",

year = "2022",

doi = "10.1109/IECON49645.2022.9968951",

language = "English",

series = "IECON Proceedings (Industrial Electronics Conference)",

publisher = "IEEE Computer Society",

booktitle = "IECON 2022 - 48th Annual Conference of the IEEE Industrial Electronics Society",

address = "United States",

}

Zhu, H, Ouahada, K & Abu-Mahfouz, AM 2022, Transmission Loss-Aware Peer-to-Peer Energy Trading in Networked Microgrids. in IECON 2022 - 48th Annual Conference of the IEEE Industrial Electronics Society. IECON Proceedings (Industrial Electronics Conference), vol. 2022-October, IEEE Computer Society, 48th Annual Conference of the IEEE Industrial Electronics Society, IECON 2022, Brussels, Belgium, 17/10/22. https://doi.org/10.1109/IECON49645.2022.9968951

Transmission Loss-Aware Peer-to-Peer Energy Trading in Networked Microgrids. / Zhu, Hailing; Ouahada, Khmaies; Abu-Mahfouz, Adnan M.
IECON 2022 - 48th Annual Conference of the IEEE Industrial Electronics Society. IEEE Computer Society, 2022. (IECON Proceedings (Industrial Electronics Conference); Vol. 2022-October).

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

TY - GEN

T1 - Transmission Loss-Aware Peer-to-Peer Energy Trading in Networked Microgrids

AU - Zhu, Hailing

AU - Ouahada, Khmaies

AU - Abu-Mahfouz, Adnan M.

PY - 2022

Y1 - 2022

N2 - Peer-to-peer (P2P) energy trading built on a smart information system in networked microgrids (MGs) is an emerging economic approach to facilitate energy sharing among networked MGs to achieve mutual cost-effective operation and improve the reliability and stability of energy supply service. Such a distributed market urges the need for an efficient energy trading strategy that incentivizes self-interested MGs to participate in energy trading. In this paper, we propose a distributed real-time P2P energy trading strategy that integrates energy trading into energy management and enables MGs with renewable energy sources (RESs) and energy storage systems (ESSs) to manage their storage scheduling, energy supply and energy trading in a dynamic manner. Jointly considering the randomness of renewable energy generation, the time-dependent load demand, the operational constraints of ESSs and the distance-dependent energy transmission losses associated with energy exchange, the proposed energy control and trading mechanism minimizes the time average operational costs of individual MGs while reducing energy transmission losses within the system.

AB - Peer-to-peer (P2P) energy trading built on a smart information system in networked microgrids (MGs) is an emerging economic approach to facilitate energy sharing among networked MGs to achieve mutual cost-effective operation and improve the reliability and stability of energy supply service. Such a distributed market urges the need for an efficient energy trading strategy that incentivizes self-interested MGs to participate in energy trading. In this paper, we propose a distributed real-time P2P energy trading strategy that integrates energy trading into energy management and enables MGs with renewable energy sources (RESs) and energy storage systems (ESSs) to manage their storage scheduling, energy supply and energy trading in a dynamic manner. Jointly considering the randomness of renewable energy generation, the time-dependent load demand, the operational constraints of ESSs and the distance-dependent energy transmission losses associated with energy exchange, the proposed energy control and trading mechanism minimizes the time average operational costs of individual MGs while reducing energy transmission losses within the system.

KW - Energy Management

KW - Energy Storage Management

KW - Energy Trading

KW - Lyapunov Optimization

KW - Microgrids

KW - Peer-to-Peer

KW - Smartgrids

UR - https://www.scopus.com/pages/publications/85143893145

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DO - 10.1109/IECON49645.2022.9968951

M3 - Conference contribution

AN - SCOPUS:85143893145

T3 - IECON Proceedings (Industrial Electronics Conference)

BT - IECON 2022 - 48th Annual Conference of the IEEE Industrial Electronics Society

PB - IEEE Computer Society

T2 - 48th Annual Conference of the IEEE Industrial Electronics Society, IECON 2022

Y2 - 17 October 2022 through 20 October 2022

ER -

Transmission Loss-Aware Peer-to-Peer Energy Trading in Networked Microgrids

Abstract

Publication series

Conference

UN SDGs

Keywords

ASJC Scopus subject areas

Access to Document

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Cite this