A flexible load-reliant cost-driven framework for peer-to-peer decentralized energy trading of a hydrogen/battery-enabled industrial town in the presence of multiple microgrids

Mahdi Mohammad-Shafie, Mohsen Assili and Mojtaba Shivaie

Applied Energy, 2024, vol. 373, issue C, No S0306261924013023

Abstract: In this paper, a new flexible load-reliant cost-driven framework is proposed for peer-to-peer decentralized energy trading of an industrial town in which demand response mechanism is modeled for all active energy consumers (hereinafter referred to as prosumers). In this industrial town, the prosumers employ multiple photovoltaic panels accompanied by battery and hydrogen energy storage systems (B&HESSs) to deliver the required energy to their own loads and sell the surplus energy to other neighboring prosumers. The objective function to be minimized includes: (i) cost of energy trading within the industrial town; (ii) cost of energy trading between the industrial town and neighboring microgrids; and, (iii) cost of energy trading with the upstream grid. The framework also considers power balance constraint for prosumers and microgrids, feeder capacity limits, allowable maximum capacity of energy trading among prosumers, admissible maximum capacity of energy trading among prosumers and microgrids, voltage bounds for prosumers and microgrids, charging and discharging restrictions of the B&HESSs, flexible load constraint, as well as logical constraints. The resulting non-convex mixed-binary linear optimization problem is solved using a linear programming solver. Case study using the IEEE 33-node distribution test system is presented here in order to illustrate the effectiveness of the newly developed framework. According to simulation results, several conclusions can be briefly drawn: (i) applying the B&HESSs brought about a decrease of 12.33% in the total cost of energy trading between the industrial town-owned prosumers and upstream grid; (ii) exerting the B&HESSs is accompanied by a decrease of 44.33% in the total cost of energy trading among the industrial town-owned prosumers; (iii) the utilization of the B&HESSs is associated with a decrement of 77.15% in the total cost of energy trading between the industrial town and neighboring microgrids; (iv) considering voltage security limits increased the willingness of the industrial town-owned prosumers to participate in demand response mechanism up to 27.53%.

Keywords: Battery and hydrogen energy storage systems (B&HESSs); Flexible load; Industrial town; Linear programming solver; Peer-to-peer decentralized energy trading; Photovoltaic panels (search for similar items in EconPapers)
Date: 2024
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DOI: 10.1016/j.apenergy.2024.123919

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