期刊
IEEE TRANSACTIONS ON INDUSTRIAL INFORMATICS
卷 18, 期 6, 页码 3754-3765出版社
IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
DOI: 10.1109/TII.2021.3112095
关键词
Contracts; Heating systems; Resistance heating; Consensus algorithm; Cogeneration; Costs; Production; Consensus algorithm; contract theory; energy hub (EH); energy sharing; integrated energy system (IES); prosumer
类别
资金
- National Natural Science Foundation of China [51877076, TII-21-1283]
This article investigates the integration of energy hubs and prosumers in heat-electric integrated energy systems. By combining contract theory and consensus algorithms, a closed-loop framework is designed to address energy sharing schemes in the lower level system and energy sharing framework in the upper level system. Simulation results demonstrate the effectiveness and feasibility of the proposed framework.
The heat-electricity integrated energy system (HE-IES) with energy hubs (EHs) and prosumers is the typical form of future energy systems. An EH can efficiently model the integration of different energy carriers and coordinate an integrated energy sharing system of multiple prosumers in HE-IES. In this article, a closed-loop framework is designed to integrate the contract theory and consensus algorithms for a bilevel heat-electricity energy sharing system. First, the energy sharing scheme between prosumers and an EH in the lower level energy system is formulated. Contract theory is utilized to maximize the profits of an EH under the information asymmetry scenario, and different contract items are designed for the electric and thermal networks. In particular, a set of new bidirectional contract items is proposed in the electrical network. Furthermore, a consensus-based energy sharing framework among various EHs and utility grid in the upper level system is developed and network constraints are considered. Two types of Lagrange multipliers are defined to decouple the electric and thermal network, and an interactive mechanism is designed to solve the problem. Finally, the simulation results verify the convergence of the bilevel closed-loop framework and the feasibility and performance of the scheme.
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