Optimal coordinated voltage control for power system voltage stability

@article{citeulike:988309, 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.}, author = {Wen, J. Y. and Wu, Q. H. and Turner, D. R. and Cheng, S. J. and Fitch, J. }, citeulike-article-id = {988309}, doi = {10.1109/TPWRS.2004.825897}, journal = {Power Systems, IEEE Transactions on}, keywords = {optimierung, regelung, spannungsregelung}, number = {2}, pages = {1115--1122}, posted-at = {2008-04-22 08:50:48}, priority = {2}, title = {Optimal coordinated voltage control for power system voltage stability}, url = {http://dx.doi.org/10.1109/TPWRS.2004.825897}, volume = {19}, year = {2004} }

TY - JOUR ID - citeulike:988309 L3 - citeulike-article-id:988309 TI - Optimal coordinated voltage control for power system voltage stability JF - Power Systems, IEEE Transactions on VL - 19 IS - 2 SP - 1115 EP - 1122 N2 - 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. KW - optimierung KW - regelung KW - spannungsregelung AU - Wen, JY AU - Wu, QH AU - Turner, DR AU - Cheng, SJ AU - Fitch, J PY - 2004/// UR - http://dx.doi.org/10.1109/TPWRS.2004.825897 ER -