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The torque and flux ripple of traditional DTC control of PMSM is large, and due to the lack of adaptive control system, the change of the system parameters has a great impact on the steady and transient control performance of the motor speed. Based on the traditional DTC control algorithm, a parameter identification adaptive backstepping DTC control algorithm is proposed in this paper. Because the backstepping controller is used to replace PI controller and flux hysteresis controller, the steady-state and transient performance of the system is obviously improved. At the same time, a parameter identification adaptive controller is designed, which can effectively suppress the influence of parameter changes on the speed control performance. The simulation results verify the correctness and effectiveness of the control algorithm. The control algorithm can significantly improve the steady-state and transient performance of the system under the condition of parameter mutation.

At present, most comprehensive energy planning methods aim at economy. A distributed integrated energy system planning method considering reliability and integrated demand response is proposed. This method considers that IDR can effectively realize the peak valley cutting of load characteristics, improve the system economy, and increase the reliability constraint penalty cost to make it more realistic. The example results show that the proposed method can consider the economy and reliability of configuration results under different conditions, and realize the selection of equipment.