Motivational game-theory P2P energy trading: a case study in Malaysia

Yu Hang Yap; null Jinnie; Wen Shan Tan; Noor Azlinda Ahmad; Chin Leong Wooi; Yuan Kang Wu

doi:10.1109/SPIES48661.2020.9243056

Motivational game-theory P2P energy trading: a case study in Malaysia

Yu Hang Yap, Jinnie, Wen Shan Tan, Noor Azlinda Ahmad, Chin Leong Wooi, Yuan Kang Wu

Malaysia Sch of Engineering

Research output: Chapter in Book/Report/Conference proceeding › Conference Paper › Other

7 Citations (Scopus)

Abstract

Peer-to-peer (P2P) energy trading allows surplus energy to be traded between distributed energy resources (DER) and prosumers in the community microgrid. In Malaysia, P2P energy trading is still under development, where it is expected to be exclusively participated by commercial and industrial prosumers. This paper proposes how a motivational psychology framework can be used effectively to design P2P energy trading to increase user participation for residential prosumer. All the data such as power consumption and solar energy value are adjusted and modelled in such a way to facilitate the calculation of P2P energy trading in Malaysia. An auction-based P2P market clearing model is then proposed and solved by using the Linear Programming optimization approach. The numerical results show the sustainability and the potential of the proposed P2P energy trading model to attract residential customers to participate in energy trading.

Original language	English
Title of host publication	2020 2nd International Conference on Smart Power and Internet Energy Systems, SPIES 2020
Publisher	IEEE, Institute of Electrical and Electronics Engineers
Pages	480-485
Number of pages	6
ISBN (Electronic)	9781728166117
DOIs	https://doi.org/10.1109/SPIES48661.2020.9243056
Publication status	Published - 2020
Event	International Conference on Smart Power and Internet Energy Systems 2020 - Bangkok, Thailand Duration: 15 Sept 2020 → 18 Sept 2020 Conference number: 2nd https://ieeexplore.ieee.org/xpl/conhome/9242535/proceeding (Proceedings) https://www.icspies.org/spies2020/#:~:text=September%2015%2D18%2C%202020%20%7C%20Bangkok%2C%20Thailand&text=The%20event%20will%20be%20entirely,September%2015%2D18%2C%202020. (Website)

Conference

Conference	International Conference on Smart Power and Internet Energy Systems 2020
Abbreviated title	SPIES 2020
Country/Territory	Thailand
City	Bangkok
Period	15/09/20 → 18/09/20
Internet address	https://ieeexplore.ieee.org/xpl/conhome/9242535/proceeding (Proceedings) https://www.icspies.org/spies2020/#:~:text=September%2015%2D18%2C%202020%20%7C%20Bangkok%2C%20Thailand&text=The%20event%20will%20be%20entirely,September%2015%2D18%2C%202020. (Website)

Keywords

Distributed energy resources
Distribution grid
Game theory
Peer-to-peer energy trading
Smart grids

UN SDGs

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

Access to Document

10.1109/SPIES48661.2020.9243056

Cite this

@inproceedings{d5e2a341251645fab6949a5daf8f18de,

title = "Motivational game-theory P2P energy trading: a case study in Malaysia",

abstract = "Peer-to-peer (P2P) energy trading allows surplus energy to be traded between distributed energy resources (DER) and prosumers in the community microgrid. In Malaysia, P2P energy trading is still under development, where it is expected to be exclusively participated by commercial and industrial prosumers. This paper proposes how a motivational psychology framework can be used effectively to design P2P energy trading to increase user participation for residential prosumer. All the data such as power consumption and solar energy value are adjusted and modelled in such a way to facilitate the calculation of P2P energy trading in Malaysia. An auction-based P2P market clearing model is then proposed and solved by using the Linear Programming optimization approach. The numerical results show the sustainability and the potential of the proposed P2P energy trading model to attract residential customers to participate in energy trading.",

keywords = "Distributed energy resources, Distribution grid, Game theory, Peer-to-peer energy trading, Smart grids",

author = "Yap, {Yu Hang} and Jinnie and Tan, {Wen Shan} and Ahmad, {Noor Azlinda} and Wooi, {Chin Leong} and Wu, {Yuan Kang}",

note = "Funding Information: ACKNOWLEDGMENT This work was mainly supported by the Universiti Teknologi Malaysia (UTM), Malaysia and Universitas Srijiwaya (UNSRI), Indonesia, under Grant No. 4B486 and 4B382, respectively. The work was also supported, in part, by Monash University Malaysia, under School of Engineering Internal Seed Grant 2020. Publisher Copyright: {\textcopyright} 2020 IEEE. Copyright: Copyright 2020 Elsevier B.V., All rights reserved.; International Conference on Smart Power and Internet Energy Systems 2020, SPIES 2020 ; Conference date: 15-09-2020 Through 18-09-2020",

year = "2020",

doi = "10.1109/SPIES48661.2020.9243056",

language = "English",

pages = "480--485",

booktitle = "2020 2nd International Conference on Smart Power and Internet Energy Systems, SPIES 2020",

publisher = "IEEE, Institute of Electrical and Electronics Engineers",

address = "United States of America",

url = "https://ieeexplore.ieee.org/xpl/conhome/9242535/proceeding, https://www.icspies.org/spies2020/#:~:text=September%2015%2D18%2C%202020%20%7C%20Bangkok%2C%20Thailand&text=The%20event%20will%20be%20entirely,September%2015%2D18%2C%202020.",

}

Yap, YH, Jinnie, , Tan, WS, Ahmad, NA, Wooi, CL & Wu, YK 2020, Motivational game-theory P2P energy trading: a case study in Malaysia. in 2020 2nd International Conference on Smart Power and Internet Energy Systems, SPIES 2020. IEEE, Institute of Electrical and Electronics Engineers, pp. 480-485, International Conference on Smart Power and Internet Energy Systems 2020, Bangkok, Thailand, 15/09/20. https://doi.org/10.1109/SPIES48661.2020.9243056

Motivational game-theory P2P energy trading: a case study in Malaysia. / Yap, Yu Hang; Jinnie, ; Tan, Wen Shan et al.
2020 2nd International Conference on Smart Power and Internet Energy Systems, SPIES 2020. IEEE, Institute of Electrical and Electronics Engineers, 2020. p. 480-485.

Research output: Chapter in Book/Report/Conference proceeding › Conference Paper › Other

TY - GEN

T1 - Motivational game-theory P2P energy trading

T2 - International Conference on Smart Power and Internet Energy Systems 2020

AU - Yap, Yu Hang

AU - Jinnie, null

AU - Tan, Wen Shan

AU - Ahmad, Noor Azlinda

AU - Wooi, Chin Leong

AU - Wu, Yuan Kang

N1 - Conference code: 2nd

PY - 2020

Y1 - 2020

N2 - Peer-to-peer (P2P) energy trading allows surplus energy to be traded between distributed energy resources (DER) and prosumers in the community microgrid. In Malaysia, P2P energy trading is still under development, where it is expected to be exclusively participated by commercial and industrial prosumers. This paper proposes how a motivational psychology framework can be used effectively to design P2P energy trading to increase user participation for residential prosumer. All the data such as power consumption and solar energy value are adjusted and modelled in such a way to facilitate the calculation of P2P energy trading in Malaysia. An auction-based P2P market clearing model is then proposed and solved by using the Linear Programming optimization approach. The numerical results show the sustainability and the potential of the proposed P2P energy trading model to attract residential customers to participate in energy trading.

AB - Peer-to-peer (P2P) energy trading allows surplus energy to be traded between distributed energy resources (DER) and prosumers in the community microgrid. In Malaysia, P2P energy trading is still under development, where it is expected to be exclusively participated by commercial and industrial prosumers. This paper proposes how a motivational psychology framework can be used effectively to design P2P energy trading to increase user participation for residential prosumer. All the data such as power consumption and solar energy value are adjusted and modelled in such a way to facilitate the calculation of P2P energy trading in Malaysia. An auction-based P2P market clearing model is then proposed and solved by using the Linear Programming optimization approach. The numerical results show the sustainability and the potential of the proposed P2P energy trading model to attract residential customers to participate in energy trading.

KW - Distributed energy resources

KW - Distribution grid

KW - Game theory

KW - Peer-to-peer energy trading

KW - Smart grids

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U2 - 10.1109/SPIES48661.2020.9243056

DO - 10.1109/SPIES48661.2020.9243056

M3 - Conference Paper

AN - SCOPUS:85096912941

SP - 480

EP - 485

BT - 2020 2nd International Conference on Smart Power and Internet Energy Systems, SPIES 2020

PB - IEEE, Institute of Electrical and Electronics Engineers

Y2 - 15 September 2020 through 18 September 2020

ER -

Motivational game-theory P2P energy trading: a case study in Malaysia

Abstract

Conference

Keywords

UN SDGs

Access to Document

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A two-stage multi microgrids p2p energy trading with motivational game-theory: a case study in Malaysia

Cite this