Optimal Scheduling of Multi-Energy Complementary Systems Considering Peaking Initiative and Demand Response

Abstract

Driven by the goal of carbon peaking and carbon neutrality, renewable energy access such as wind power and photovoltaic is putting higher demands on the peaking capacity of the existing power system. In this paper, a joint system optimal scheduling model considering peak regulation initiative and demand response is constructed. First, on the basis of analyzing the compensation and apportionment model of thermal power unit peaking, considering thermal power unit peaking initiative constraint, stimulating thermal power units to participate in peaking through peaking profit, and providing space for wind power and solar power to be connected to the grid. Secondly, price-based demand response is used on the load side to guide users to actively participate in load adjustment, reduce the load peak-to-valley difference, and optimize the load curve. Then, with the optimization objectives of minimizing system operation cost and minimizing wind and solar abandonment, a day-ahead optimal scheduling model for the wind-fire storage system is constructed considering the peak regulation initiative of thermal power and load-side demand response. Finally, the improved IEEE30 node system is used as an example for multi-scenario analysis, and the results show that the proposed model can effectively promote the capacity of renewable energy consumption as well as improve the economy of the system, which verifies the effectiveness of the model.