%0 Journal Article %1 jariwala2014design %A Jariwala, Hitesh Rameshchandra %A Chowdhury, Anandita %D 2014 %E Das, Dr. Vinu V %J ACEEE International Journal of Electrical and Power Engineering %K Controllability Observability %N 1 %P 9 %T Design and Performance Analysis of Genetic based PID-PSS with SVC in a Multi-machine System Considering Detailed Model %U http://searchdl.org/public/journals/2014/IJEPE/5/1/6.pdf %V 5 %X Damping of power system oscillations with the help of proposed optimal Proportional Integral Derivative Power System Stabilizer (PID-PSS) and Static Var Compensator (SVC)-based controllers are thoroughly investigated in this paper. This study presents robust tuning of PID-PSS and SVC-based controllers using Genetic Algorithms (GA) in multi machine power systems by considering detailed model of the generators (model 1.1). The effectiveness of FACTSbased controllers in general and SVC-based controller in particular depends upon their proper location. Modal controllability and observability are used to locate SVC–based controller. The performance of the proposed controllers is compared with conventional lead-lag power system stabilizer (CPSS) and demonstrated on 10 machines, 39 bus New England test system. Simulation studies show that the proposed genetic based PID-PSS with SVC based controller provides better performance.

@article{jariwala2014design, abstract = {Damping of power system oscillations with the help of proposed optimal Proportional Integral Derivative Power System Stabilizer (PID-PSS) and Static Var Compensator (SVC)-based controllers are thoroughly investigated in this paper. This study presents robust tuning of PID-PSS and SVC-based controllers using Genetic Algorithms (GA) in multi machine power systems by considering detailed model of the generators (model 1.1). The effectiveness of FACTSbased controllers in general and SVC-based controller in particular depends upon their proper location. Modal controllability and observability are used to locate SVC–based controller. The performance of the proposed controllers is compared with conventional lead-lag power system stabilizer (CPSS) and demonstrated on 10 machines, 39 bus New England test system. Simulation studies show that the proposed genetic based PID-PSS with SVC based controller provides better performance.}, added-at = {2014-02-26T09:19:04.000+0100}, author = {Jariwala, Hitesh Rameshchandra and Chowdhury, Anandita}, biburl = {https://www.bibsonomy.org/bibtex/223b72ec4242b22bbe0539ec69e9e0330/ideseditor}, editor = {Das, Dr. Vinu V}, interhash = {3eb4b6a77b876769f0a8a2376eef528a}, intrahash = {23b72ec4242b22bbe0539ec69e9e0330}, journal = {ACEEE International Journal of Electrical and Power Engineering}, keywords = {Controllability Observability}, month = {February}, number = 1, pages = 9, timestamp = {2014-02-26T09:21:30.000+0100}, title = {Design and Performance Analysis of Genetic based PID-PSS with SVC in a Multi-machine System Considering Detailed Model}, url = {http://searchdl.org/public/journals/2014/IJEPE/5/1/6.pdf}, volume = 5, year = 2014 }