Collaborative optimization method of the regional integrated energy system for energy cascade utilization

Abstract

Energy is an important resource, and its main reserves are obviously insufficient compared with consumption. The energy structure is mainly dominated by fossil energy. The pollution emissions from energy utilization are becoming more and more serious. The energy problem has seriously affected the development of new urbanization. This paper studies the optimal scheduling problem of typical urban integrated energy systems participating in different demand response methods. Based on the traditional power demand response model, the demand response model is constructed according to the equivalent thermal parameters. Its model can optimize the electricity and gas load curves and realize the balance of electricity, heat, and gas in an economical and environmentally friendly way. It can also reduce the total cost of the economic operation of the system and reduce the overall carbon emissions of the system. Through the optimization and regulation of multi-type “source-storage-load”, multi-time scale, and multi-objective joint for the distributed thermal power, the matching of thermal and electric hybrid energy and the peak and valley of the power grid can be realized.