Peer-to-peer transactive energy trading enabled decentralized energy management of a hybrid building cluster

With a rising number of buildings being equipped with private distributed energy resources (DERs) such as rooftop PV panels and energy storage devices, an effective energy management method for a building cluster becomes increasingly imperative. This paper proposes a novel decentralized transactive...

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Main Author: Ying, Chenhao
Other Authors: Xu Yan
Format: Thesis-Master by Coursework
Language:English
Published: Nanyang Technological University 2024
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Online Access:https://hdl.handle.net/10356/173691
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Institution: Nanyang Technological University
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spelling sg-ntu-dr.10356-1736912024-02-23T15:43:58Z Peer-to-peer transactive energy trading enabled decentralized energy management of a hybrid building cluster Ying, Chenhao Xu Yan School of Electrical and Electronic Engineering xuyan@ntu.edu.sg Engineering With a rising number of buildings being equipped with private distributed energy resources (DERs) such as rooftop PV panels and energy storage devices, an effective energy management method for a building cluster becomes increasingly imperative. This paper proposes a novel decentralized transactive energy management (TEM) method for a cluster of residential and commercial buildings, which enables peer-to-peer (P2P) energy trading among the DER owners and consumers, and addresses the operational challenge on the power network. Mathematically, the strategic interactions among the DER owners and consumers are captured by a multi-leader-multi-follower (MLMF) Stackelberg game and formulated as a bi-level model. The DER owners, the commercial and residential consumers are autonomous entities, optimizing their individual welfare functions and sharing necessary trading-related information, which are expressed as the upper-level leaders’ models and the lower-level followers’ models, respectively. To preserve the privacy and autonomy of each entity within the building cluster, a distributed algorithm incorporated with an efficient P2P pricing mechanism is designed for the formulated MLMF Stackelberg game problem. Simulation results demonstrate the effectiveness of the proposed method on reducing the reliance of the building cluster on the power grid, motivating the DERs to actively participate in P2P trading, and reducing the consumers’ costs on energy consumption. Master's degree 2024-02-23T03:13:45Z 2024-02-23T03:13:45Z 2024 Thesis-Master by Coursework Ying, C. (2024). Peer-to-peer transactive energy trading enabled decentralized energy management of a hybrid building cluster. Master's thesis, Nanyang Technological University, Singapore. https://hdl.handle.net/10356/173691 https://hdl.handle.net/10356/173691 en application/pdf Nanyang Technological University
institution Nanyang Technological University
building NTU Library
continent Asia
country Singapore
Singapore
content_provider NTU Library
collection DR-NTU
language English
topic Engineering
spellingShingle Engineering
Ying, Chenhao
Peer-to-peer transactive energy trading enabled decentralized energy management of a hybrid building cluster
description With a rising number of buildings being equipped with private distributed energy resources (DERs) such as rooftop PV panels and energy storage devices, an effective energy management method for a building cluster becomes increasingly imperative. This paper proposes a novel decentralized transactive energy management (TEM) method for a cluster of residential and commercial buildings, which enables peer-to-peer (P2P) energy trading among the DER owners and consumers, and addresses the operational challenge on the power network. Mathematically, the strategic interactions among the DER owners and consumers are captured by a multi-leader-multi-follower (MLMF) Stackelberg game and formulated as a bi-level model. The DER owners, the commercial and residential consumers are autonomous entities, optimizing their individual welfare functions and sharing necessary trading-related information, which are expressed as the upper-level leaders’ models and the lower-level followers’ models, respectively. To preserve the privacy and autonomy of each entity within the building cluster, a distributed algorithm incorporated with an efficient P2P pricing mechanism is designed for the formulated MLMF Stackelberg game problem. Simulation results demonstrate the effectiveness of the proposed method on reducing the reliance of the building cluster on the power grid, motivating the DERs to actively participate in P2P trading, and reducing the consumers’ costs on energy consumption.
author2 Xu Yan
author_facet Xu Yan
Ying, Chenhao
format Thesis-Master by Coursework
author Ying, Chenhao
author_sort Ying, Chenhao
title Peer-to-peer transactive energy trading enabled decentralized energy management of a hybrid building cluster
title_short Peer-to-peer transactive energy trading enabled decentralized energy management of a hybrid building cluster
title_full Peer-to-peer transactive energy trading enabled decentralized energy management of a hybrid building cluster
title_fullStr Peer-to-peer transactive energy trading enabled decentralized energy management of a hybrid building cluster
title_full_unstemmed Peer-to-peer transactive energy trading enabled decentralized energy management of a hybrid building cluster
title_sort peer-to-peer transactive energy trading enabled decentralized energy management of a hybrid building cluster
publisher Nanyang Technological University
publishDate 2024
url https://hdl.handle.net/10356/173691
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