Title :
Optimal coordinated voltage control for power system voltage stability
Author :
Wen, J.Y. ; Wu, Q.H. ; Turner, D.R. ; Cheng, S.J. ; Fitch, J.
Author_Institution :
Dept. of Electr. Eng., Huazhong Univ. of Sci. & Technol., Wuhan, China
fDate :
5/1/2004 12:00:00 AM
Abstract :
An optimal coordinated voltage controller (OCVC) is developed based on the spirit of model predictive control (MPC) method. The OCVC consists of three components, namely a predictor, a control candidate pool, and a selector. It has been used in secondary voltage control (SVC) to coordinate dissimilar control actions at different geographical locations in order to maintain desired voltage profiles in a global sense in emergencies. A single-stage Euler state predictor (SESP) is utilized, based on the system model, to predict voltage performance under selected control actions; the selection of the optimum control action from the pool is a complex optimization problem that is achieved by a pseudogradient evolutionary programming (PGEP) technique. Simulation results on a six-bus benchmark system and the New England 10-generator-39-bus system are given to show the potential of this method for online usage.
Keywords :
evolutionary computation; mathematical programming; optimal control; power system control; power system stability; predictive control; voltage control; New England 10-generator-39-bus system; model predictive control; optimal coordinated voltage control; power system voltage stability; pseudogradient evolutionary programming technique; secondary voltage control; single-stage Euler state predictor; six-bus benchmark system; Genetic programming; Optimal control; Power system control; Power system modeling; Power system stability; Power systems; Predictive control; Predictive models; Static VAr compensators; Voltage control;
Journal_Title :
Power Systems, IEEE Transactions on
DOI :
10.1109/TPWRS.2004.825897
