Distributed Energy Scheduling for Integrated Energy System Clusters with Peer-to-Peer Energy Transaction

• Published in: IEEE transactions on smart grid Vol. 14; no. 1; p. 1
• Main Authors: Shi, Mengge, Wang, Han, Xie, Peng, Lyu, Cheng, Jia, Youwei
• Format: Journal Article
• Language: English
• Published: Piscataway IEEE 01.01.2023; The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
• Subjects: Algorithms; alternating direction method of multipliers algorithm; Clusters; Cogeneration; Costs; Distributed generation; Electricity; Energy; Energy consumption; energy scheduling; Heating systems; Hydrogen; integrated energy system cluster; Integrated energy systems; P2P energy transaction; Renewable energy sources; Resistance heating; Robust control; Scheduling; Uncertainty
• ISSN: 1949-3053; 1949-3061
• DOI: 10.1109/TSG.2022.3197435

Surplus electricity energy from renewable sources can be efficiently utilized by converting it into other forms of energy in the integrated energy system (IES). Local electricity energy sharing can be realized through effective dispatching and independent transaction between producers and consumers. This features the merits on energy consumption and operational cost reduction. In this paper, a novel energy scheduling regime is proposed for the electricity-hydrogen-heat IES clusters under a peer-to-peer (P2P) electricity and heat energy transaction structure. To instantly control the robustness of the scheduling decisions, a weighted MPC strategy is newly proposed for online decision-makings. Furthermore, an adaptive alternating direction method of multipliers (ADMM) with varying penalties algorithm that can effectively preserve prosumer privacy is proposed, which enables the operators to coordinate various parties in the multienergy microgrids. Extensive case studies based on a typical testing system are carried out, of which the simulation results demonstrate the effectiveness of the proposed scheduling regime and suggest potential for practical application.