An Asynchronous Peer-to-Peer Energy Trading among Heterogeneous Low-Carbon Building Prosumers

Low-carbon buildings (LCBs) are normally equipped with distributed energy resources (DERs), thereby creating LCB prosumers with capacities for energy production and consumption. Peer-to-Peer (P2P) energy trading among LCB prosumers could bring higher economic benefits for themselves. To fully harnes...

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Vydáno v:IEEE Power & Energy Society General Meeting s. 1 - 5
Hlavní autoři: Wang, Xiaoyu, Jia, Hongjie, Jin, Xiaolong, Mu, Yunfei, Wei, Wei, Yu, Xiaodan, Liang, Shuo, Tang, Wanxin
Médium: Konferenční příspěvek
Jazyk:angličtina
Vydáno: IEEE 21.07.2024
Témata:
ADMM
asynchronous distributed algorithm
Buildings
Communication networks
Computational efficiency
Convex functions
Distributed algorithms
Economics
heterogenous LCB prosumers
low-carbon buildings
P2P energy trading
Peer-to-peer computing
Simulation
Thermal loading
Water heating
ISSN:1944-9933
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Shrnutí:Low-carbon buildings (LCBs) are normally equipped with distributed energy resources (DERs), thereby creating LCB prosumers with capacities for energy production and consumption. Peer-to-Peer (P2P) energy trading among LCB prosumers could bring higher economic benefits for themselves. To fully harness the potential benefits of LCBs in P2P energy trading, an asynchronous P2P energy trading method among heterogeneous LCB prosumers is proposed in this paper. The flexibility of heating loads of LCBs is fully exploited to benefit LCB prosumers in P2P energy trading by using the thermal dynamics of LCBs. Additionally, each LCB prosumer is heterogeneous in terms of the energy resources configuration and communication network infrastructure, which causes the heavy computation and communication burden using the traditional solution method. To improve the computational efficiency, an asynchronous distributed algorithm based on alternating direction method of multipliers (ADMM) is introduced to enable each LCB prosumer to trade energy asynchronously with no need to wait for the trading information from other LCB prosumers with poor communication network infrastructure. This asynchronous procedure significantly reduces the computation time of P2P energy trading. Simulation results verify the effectiveness of the proposed method and the feasibility of the proposed algorithm.
ISSN:1944-9933
DOI:10.1109/PESGM51994.2024.10688721