Title :
Distributed model predictive control of wide area power system
Author :
Bai Liye ; Yu Li ; Liu Andong ; Zhang Wen-an
Author_Institution :
Coll. of Inf. Eng., Zhejiang Univ. of Technol., Hangzhou, China
Abstract :
In this paper, a distributed controller is proposed for large-scale interconnected power systems, via cooperative model predictive control strategies. In the distributed model predictive control (DMPC), interactions between subsystems are considered, as well as that of the communication between controllers. To reduce the quantity of data transmission and decrease the storage space, the signal is quantized before transmission. The effectiveness and feasibility of the proposed method is demonstrated by simulation of a four-machine two-area power system.
Keywords :
distributed control; power system interconnection; power system simulation; power transmission control; predictive control; quantisation (signal); DMPC; cooperative model predictive control strategies; data transmission quantity reduction; decrease storage space; distributed model predictive controller; four-machine two-area power system simulation; large-scale interconnected power systems; signal quantisation; wide area power system; Bismuth; Decentralized control; Educational institutions; Electronic mail; Power system stability; Predictive control; Distributed Control; Model Predictive Control; Quantization; Wide Area Measurement System;
Conference_Titel :
Control Conference (CCC), 2014 33rd Chinese
Conference_Location :
Nanjing
DOI :
10.1109/ChiCC.2014.6896363