Multi-time Scale Optimization Dispatch Model of Integrated Energy System Considering Energy-Auxiliary Services

Abstract

Under the goal of “carbon peaking and carbon neutrality”, construction of the new power system with new energy as the mainstay will surely promote the user-side participation in the real-time energy balance. In the integrated energy system (IES) with multi-energy operation of cooling, heating, electricity and gas, the real-time balance of power system through coordinating internal operation strategies combined with the auxiliary adjustment of various internal flexible resources can promote the economic energy use of industrial park and the regional renewable energy consumption. A multi-time scale IES optimization dispatch model is thus proposed with consideration of energy-auxiliary services. The energy cost of industrial park is optimized through providing such auxiliary services as peak-shaving and frequency regulation to power grid, and the equivalent linearization method is used to solve nonlinear programming problem. The case study shows that with the proposed optimization model, the park can not only realize the economic energy use through multi-energy coordination and complementation, but also can effectively promote regional renewable energy consumption and real-time energy balance through participating in peak shaving and frequency regulation auxiliary services.