4.6 Article

A real time peer-to-peer energy trading for prosumers utilizing time-varying building virtual energy storage

Publisher

ELSEVIER SCI LTD
DOI: 10.1016/j.ijepes.2023.109547

Keywords

Peer-to-Peer (P2P); Energy trading; Virtual energy storage system (VESS); Time-varying; Model predictive control (MPC); Trading preference

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This paper investigates the application of building thermal energy storage in Peer-to-Peer (P2P) energy trading and proposes a time-varying virtual energy storage system (T-VESS) model to quantify the flexibility of a building. A real-time P2P energy trading method based on model predictive control is proposed, along with a distributed trading actions implementation method based on continuous double auction. Numerical results show that the proposed method can reduce the operational cost of prosumers by 3.7% and promote the local integration of renewable energy by 3.1%.
With the increasing penetration of distributed energy resources (DER) in the electric power system, Peer-to-Peer (P2P) energy trading has become a promising paradigm for future electric power systems. Building thermal load, which is an important demand side resource, should be considered carefully in the design of a P2P trading method. In this paper, we investigate the application of building thermal energy storage capability in P2P energy trading. We aggregate and model building thermal loads as a virtual energy storage and derive a time-varying virtual energy storage system (T-VESS) model to quantify the flexibility of a building. Key parameters of TVESS, including charging/discharging rate, energy capacity, and state of charge (SOC), are analyzed so that TVESS can be embedded in the building prosumer model to participate effectively in electricity-oriented P2P energy trading. We propose a real time P2P energy trading method of prosumers based on model predictive control (MPC). This method consists of an energy supply and demand quantification stage and a transaction price optimization stage, which can effectively capture the time-varying nature of T-VESS. To preserve the trading preference for prosumers, we propose a distributed P2P energy trading actions implementation method based on the continuous double auction (CDA) considering multiple trading preference grades. Numerical results demonstrate that the proposed P2P energy trading method considering T-VESS can reduce the operational cost of prosumers by 3.7%, while also promoting the local integration of renewable energy by 3.1%. Furthermore, compared to existing P2P trading methods considering single preference grade, the proposed method greatly enhances the utilities of both individual prosumers and the overall community.

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