A two‐stage multi microgrids p2p energy trading with motivational game‐theory: A case study in malaysia

Abstract Peer‐to‐peer (P2P) energy trading is expected to be emerged as a new energy management paradigm that allows the transaction of energy from one prosumer to another prosumer without any dependency on a central controller. In Malaysia, first pilot test of P2P trading has been conducted recentl...

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Main Authors: Yu‐Hang Yap, Wen‐Shan Tan, Jinnie Wong, Noor Azlinda Ahmad, Chin‐Leong Wooi, Yuan‐Kang Wu, Aznan Ezraie Ariffin
Format: Article
Language:English
Published: Wiley 2021-09-01
Series:IET Renewable Power Generation
Subjects:
Online Access:https://doi.org/10.1049/rpg2.12205
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author Yu‐Hang Yap
Wen‐Shan Tan
Jinnie Wong
Noor Azlinda Ahmad
Chin‐Leong Wooi
Yuan‐Kang Wu
Aznan Ezraie Ariffin
author_facet Yu‐Hang Yap
Wen‐Shan Tan
Jinnie Wong
Noor Azlinda Ahmad
Chin‐Leong Wooi
Yuan‐Kang Wu
Aznan Ezraie Ariffin
author_sort Yu‐Hang Yap
collection DOAJ
description Abstract Peer‐to‐peer (P2P) energy trading is expected to be emerged as a new energy management paradigm that allows the transaction of energy from one prosumer to another prosumer without any dependency on a central controller. In Malaysia, first pilot test of P2P trading has been conducted recently, which exclusively participated by industrial prosumers and commercial consumers only. In order to investigate the impact of P2P energy trading to Malaysia market, this paper proposes an auction‐based two‐stage P2P trading market‐clearing strategy, for multi‐cities and intra‐city in Malaysia. A motivational game theory‐based price scheme is presented to ensure an unbiased market operation, to maximize the saving and payoff for each prosumer, at the same time benefits the power utility company. The proposed two‐stage market clearing model is solved by Linear Programming optimization approach. A realistic representation of P2P trading in Malaysia is constructed and tested out under multi‐cities and intra‐city energy trading test cases. Comparison between the proposed P2P energy trading with existing solar generation net metering scheme is also presented. The numerical results indicate the viability and potential of motivational game theory based P2P trading in future Malaysia transactive energy market.
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spelling doaj.art-b58505a59d7d49ff8bf77b447a59bb212022-12-22T04:30:25ZengWileyIET Renewable Power Generation1752-14161752-14242021-09-0115122615262810.1049/rpg2.12205A two‐stage multi microgrids p2p energy trading with motivational game‐theory: A case study in malaysiaYu‐Hang Yap0Wen‐Shan Tan1Jinnie Wong2Noor Azlinda Ahmad3Chin‐Leong Wooi4Yuan‐Kang Wu5Aznan Ezraie Ariffin6School of Engineering and Advance Engineering Platform Monash University Malaysia Jalan Lagoon Selatan Bandar Sunway Selangor 47500 MalaysiaSchool of Engineering and Advance Engineering Platform Monash University Malaysia Jalan Lagoon Selatan Bandar Sunway Selangor 47500 MalaysiaSchool of Engineering and Advance Engineering Platform Monash University Malaysia Jalan Lagoon Selatan Bandar Sunway Selangor 47500 MalaysiaSchool of Electrical Engineering Institute of High Voltage and High Current (IVAT) Universiti Teknologi Malaysia Johor Bahru Johor 81310 MalaysiaCentre of Excellence for Renewable Energy School of Electrical Systems Engineering Universiti Malaysia Perlis Pauh Putra Campus Arau Perlis MalaysiaNational Chung‐Cheng University Chiayi TaiwanTNB Research Sdn. Bhd. No. 1, Kawasan Institusi Penyelidikan, Jalan Ayer Itam Kajang Selangor 43000 MalaysiaAbstract Peer‐to‐peer (P2P) energy trading is expected to be emerged as a new energy management paradigm that allows the transaction of energy from one prosumer to another prosumer without any dependency on a central controller. In Malaysia, first pilot test of P2P trading has been conducted recently, which exclusively participated by industrial prosumers and commercial consumers only. In order to investigate the impact of P2P energy trading to Malaysia market, this paper proposes an auction‐based two‐stage P2P trading market‐clearing strategy, for multi‐cities and intra‐city in Malaysia. A motivational game theory‐based price scheme is presented to ensure an unbiased market operation, to maximize the saving and payoff for each prosumer, at the same time benefits the power utility company. The proposed two‐stage market clearing model is solved by Linear Programming optimization approach. A realistic representation of P2P trading in Malaysia is constructed and tested out under multi‐cities and intra‐city energy trading test cases. Comparison between the proposed P2P energy trading with existing solar generation net metering scheme is also presented. The numerical results indicate the viability and potential of motivational game theory based P2P trading in future Malaysia transactive energy market.https://doi.org/10.1049/rpg2.12205Game theoryOptimisation techniquesGame theoryDistributed power generationPower system management, operation and economicsPower engineering computing
spellingShingle Yu‐Hang Yap
Wen‐Shan Tan
Jinnie Wong
Noor Azlinda Ahmad
Chin‐Leong Wooi
Yuan‐Kang Wu
Aznan Ezraie Ariffin
A two‐stage multi microgrids p2p energy trading with motivational game‐theory: A case study in malaysia
IET Renewable Power Generation
Game theory
Optimisation techniques
Game theory
Distributed power generation
Power system management, operation and economics
Power engineering computing
title A two‐stage multi microgrids p2p energy trading with motivational game‐theory: A case study in malaysia
title_full A two‐stage multi microgrids p2p energy trading with motivational game‐theory: A case study in malaysia
title_fullStr A two‐stage multi microgrids p2p energy trading with motivational game‐theory: A case study in malaysia
title_full_unstemmed A two‐stage multi microgrids p2p energy trading with motivational game‐theory: A case study in malaysia
title_short A two‐stage multi microgrids p2p energy trading with motivational game‐theory: A case study in malaysia
title_sort two stage multi microgrids p2p energy trading with motivational game theory a case study in malaysia
topic Game theory
Optimisation techniques
Game theory
Distributed power generation
Power system management, operation and economics
Power engineering computing
url https://doi.org/10.1049/rpg2.12205
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