Title :
Predictive Optimal algorithm based Coordinated voltage Control for large power system
Author :
Ye, Peng ; Bian, Qing ; Song, Jiahua ; Yao, Bing
Author_Institution :
Shenyang Univ. of Technol., Shenyang
Abstract :
Misbalance between reactive power production and consumption in power system causes the variation of node voltage outside the proposed limit. It is a main task for system operators to maintain the voltage profile against any unexpected disturbance. In this paper a simple and practical coordinated secondary voltage control (CSVC) method was present, which was based on the predictive optimal algorithm. By taking the changing tendency of reactive power into consideration, a discrete predictive optimal control scheme was proposed, additional measurements were used in order to offset the effects of the loads variation and the changing of reactive power among neighboring areas. Grey model (GM) was employed to predict the changing tendency of reactive power in the tie lines and in the main loads node. Then based on the prediction results an optimal calculation was used to get the control law in each control step with the consideration of reactive power changing tendency. The simulation results as examples on the large power system were presented to illustrate the validity of the improved control scheme.
Keywords :
optimal control; power system control; power system faults; predictive control; reactive power; voltage control; Grey model; coordinated secondary voltage control; large power system; power system consumption; power system disturbance; predictive optimal algorithm; reactive power changing tendency; reactive power production; Area measurement; Optimal control; Power system control; Power system simulation; Power systems; Prediction algorithms; Production systems; Reactive power; Reactive power control; Voltage control; grey prediction; optimal algorithm; secondary voltage control;
Conference_Titel :
Power System Technology, 2006. PowerCon 2006. International Conference on
Conference_Location :
Chongqing
Print_ISBN :
1-4244-0110-0
Electronic_ISBN :
1-4244-0111-9
DOI :
10.1109/ICPST.2006.321671