Research On Temperature Control Strategy Of Solid State Electric Heat Storage System Based On Dynamic Matrix Prediction

The solid electric heat storage device uses the abandoned wind energy in the trough period to store it as heat energy,which plays an important role in the peak regulation of power grid.This paper aims at the problem that the traditional PID heating control system can not meet the demand of heating because of the large lag,large overshoot and long time oscillation.It is of great significance for the application of solid electric heat storage device to study the advanced intelligent control strategy for the temperature regulation of solid electric heat storage system,so as to realize the automatic adjustment of heating temperature and ensure the reliability and stability of the heating system.Focusing on the temperature regulation of solid electric heat storage system,this paper introduces the operating principle of solid electric heat storage device and the composition of heating system.The control system of solid electric heat storage unit is described,and the operation mode,working condition and regulation of the heating temperature control system of solid electric heat storage unit are analyzed.Using the operation data monitored by the cloud platform remote monitoring system,the least square method and the auxiliary variable method are used to identify the parameters of two different heating temperature modes,and each heating temperature mode is divided into two different operating conditions to carry out the system parameter identification modeling.Secondly,the traditional PID control method can not meet the time delay,large inertia and other characteristics of solid electric heat storage control system,a fuzzy adaptive PID control strategy is proposed.The adaptive performance,tracking performance and steady-state performance of the proposed control strategy are verified by simulation under different modes and different working conditions.Finally,a fuzzy PID control strategy based on dynamic matrix prediction is proposed by combining the two control algorithms to solve the problem of large overshoot in fuzzy adaptive PID control.By using the dynamic matrix to predict and adjust the fuzzy mechanism,the time delay,response speed and stability of the solid electric heat storage heating temperature control system can be better solved,and the overshoot in the process of the control system can be reduced.The simulation results show that the improved control algorithm can solve the problem of the maximum overshoot to a great extent,and the fuzzy PID control strategy based on dynamic matrix prediction is scientific and feasible.The effective and stable control of solid electric heat storage heating temperature control system is realized,and the influence caused by large lag and large inertia of solid electric heat storage heating temperature control system is effectively solved,and the response speed and stability of the system are improved.