Integrated energy system operation optimization considering edge computing and demand response

Abstract

Driven by the dual-carbon targets, the application of integrated energy stations is becoming increasingly widespread. A core aspect of these stations is the utilization of various energy sources and storage devices to meet a variety of load demands. This study delves into the characteristics of an integrated energy microgrid, encompassing aspects such as energy storage properties, time-of-use electricity pricing, and electric-thermal load. Under the premise of fully considering demand response, we construct a dual-layer operation optimization model, implemented via edge computing technology. An integrated energy station equipped with a combined heat and power system, an electric boiler, a fuel cell, and electricity and heat storage systems is used as a simulation example to study the response models of different electricity and thermal energy demands. We analyze and compare four different application scenarios, and perform simulation calculations of the economic benefits of the model. The research results reveal the superiority and effectiveness of the demand response model based on edge computing in achieving real-time demand response. This validates the feasibility and rationality of executing the comprehensive energy demand response on the edge side.