Research On Predicive Direct Power Control Based On ADRC Of Grid-connected Converters

Nowadays,the crisis of energy is the main problem in this world,so the renewable energy is a way to solve this problem.Recently,the increasing development of renewable power system has made this possible.Especially,the growth of solar energy system is rising rapidly.The paper focuses on the solar energy system applying at solar generation station or solar energy system of building which are connected into grid.In the solar energy system,power control is very important,so the paper will discuss the direct power control of DC/AC converters.First,the model of DC/AC converters system is built.Then,based on the model the strategy of look-up-table direct power control(LUP-DPC)is compared with the strategy of predictive direct power control(P-DPC).It turns out predictive direct power control is better than the former one.Especially,the predictive direct power control strategy is more stable.In addition,this strategy response fast with a simple structure.After deep analyzing,when the parameters of system change due to unpredictable reasons,the results of predictive direct power control strategy will have error.So this strategy cannot resist the disturbance.To solve this problem,the active disturbance rejection controller is introduced.This controller can resist the unknown disturbance in uncertain system.So the strategy of applying active disturbance rejection controller into predictive direct power control system is proposed.Due to high order ADRC response slowly which doesn't match the speed of predictive direct power control system.So the one order ADRC controller is applied at the predictive direct power control system.But the one order controller replaces the tracking differentiator(TD)to P controller which causes the conflict of speed of response and overshoot.Because of the extended state observer(ESO),this controller can resist the unknown disturbance.Finally,based on MATLAB/Simulink and dSPACE hardware-in-the-loop simulation system,the above control strategies were simulated and experimentally verified.The simulation and experimental results prove the feasibility and practicability of the proposed control strategy.