Day-ahead energy pricing and management method for regional integrated energy systems considering multi-energy demand responses

Abstract

By coupling multiple energy networks, an integrated energy system can realize the conversion and complementarity of various energy sources. The development of regional integrated energy systems (RIESs) has brought both opportunities and challenges to the energy market. Without a reasonable integrated energy day-ahead trading structure, it is difficult for energy providers to make profits and for consumers to achieve economic energy utilization. At the same time, various user-side energy loads are controllable, and it is necessary to comprehensively consider multi-energy demand responses in energy trading and management. To address the above issues, the trading behaviors of main market players are clarified, and an integrated energy pricing and management strategy is proposed in this paper. Multi-energy demand response models for data centers, electric vehicles (EVs) and air conditioning loads (ACLs) are also established. Considering multi-energy demand responses, a day-ahead energy pricing and management model for RIESs is proposed. The model is a bilevel Stackelberg game optimization model, in which the upper level considers profit maximization of energy service provider (ESP) while the lower level deals with the cost minimization of energy consumer (EC). Based on simulation analysis, the feasibility of the proposed model is verified. The trading scheme optimized by this model can benefit both ESP and EC. Compared with a traditional integrated energy trading structure, the profit source of ESP is enlarged. The simulation results also show that the application of multi-energy demand responses can improve the economic and collaborative operation effect of RIESs and reduce carbon emissions.