Title :
Application of model predictive control in active distribution network
Author :
Dexiang Yang ; Dong Liu ; Quingsheng Li ; Jing Nong
Author_Institution :
Key Lab. of Control Power Transm. & Conversion Minist. of Educ., Shanghai Jiao Tong Univ., Shanghai, China
Abstract :
Active distribution network is an effective solution to realize the optimizing operation of integrating large-scale distributed energy into distribution network. The intermittency of distributed energy makes the traditional PI control dissatisfying the requirement on the active distribution network control, this paper proposed a method based on model predictive control to apply to the coordination control of active distribution network according to the multi-layer coordination control characteristics of the active distribution network. And uses the dynamic matrix control algorithm to simulate the regional autonomous control in active distribution network with Matlab/Simulink, the simulation results show the effectiveness of the model predictive control method.
Keywords :
matrix algebra; power distribution control; predictive control; PI control; active distribution network multilayer coordination control; dynamic matrix control algorithm; large-scale distributed energy integration; model predictive control; regional autonomous control; Abstracts; Education; Heuristic algorithms; Optimization; Power systems; Prediction algorithms; Predictive control; Matlab/Simulink simulation; Model Predictive Control(MPC); active distribution network(ADN); distributed generator(DG); dynamic matrix control(DMC);
Conference_Titel :
Electricity Distribution (CICED), 2014 China International Conference on
Conference_Location :
Shenzhen
DOI :
10.1109/CICED.2014.6991965
