A Power and Load Optimization Scheduling Model based on Flexible Thermal Load Participating in Assisted Peak Regulation

In winter heating period, the thermal power plant undertaking the task of system peak regulation is restricted by "thermostatic electricity", which seriously reduces the peak regulation capacity, thus affecting wind power consumption. Therefore, this paper puts forward the idea of power and load dispatching that the corresponding thermal load should be configured in the thermal power plant and the load side, and that the flexible regulation characteristic should be used to assist peak regulation, so as to improve the peak regulation ability of the system and thus to improve the wind power consumption. Based on this, this paper firstly analyzes the peak regulation demand of thermal power plants where large-scale wind power access to and the flexible regulation characteristics of thermal load, and further studies the mechanism of using the flexible regulation characteristics of thermal load to participate in the auxiliary peak regulation. Then, under the scenario of flexible thermal load assisted peak-adjustment, the target charge optimization scheduling model with maximum wind power consumption was established by comprehensively considering the penalty costs of wind abandon and peak-valley difference, and an improved particle swarm optimization algorithm was used to solve the problem. Finally, simulation results demonstrate the effectiveness of the proposed method to improve wind power consumption and reduce system operating costs.