%0 Journal Article %1 noauthororeditor %A D.Murali1, Dr.M.Rajaram %D 2010 %E Dr.Vinu.V.Das, %J Aceee International Journal on Recent Trends in Engineering and Technology %K ANFIS Coordinated Damping control performance %N 3 %P 6 %T An Improved Control Scheme Applied to Static Synchronous Series Compensators for Damping of Oscillations in Multi-Machine Power Systems %U /brokenurl#doi.searchdl.org/01.IJRTET.4.3.15 %V 4 %X Flexible AC Transmission System (FACTS) devices are widely recognized as powerful controllers to improve the dynamic performance. This system allows more efficient utilization of the existing electricity infrastructure. The standard FACTS controllers are linear controllers designed around a specific operating point from a linearized system model with fixed parameters. At other operating points or in the event of a major disturbance, those linear controllers may not guarantee acceptable performance or stability. A novel approach of artificial intelligence (AI) technique called Hybrid Neuro-Fuzzy approach was designed for the external coordinated control of Static Synchronous Series Compensator (SSSC) based damping controllers. The advantage of this approach is that it can handle the nonlinearities, at the same time it is faster than other conventional controllers. ANFIS (Adaptive Neuro-Fuzzy Inference System) was employed for the training of the proposed fuzzy-logic controllers (FLC). Simulation studies were carried out in MATLAB/SIMULINK environment to evaluate the effectiveness of the proposed nonlinear intelligent controllers on multi-machine power systems. Results showed that the proposed Neuro-Fuzzy intelligent control has a satisfactory performance during a three-phase short circuit fault.

@article{noauthororeditor, abstract = {Flexible AC Transmission System (FACTS) devices are widely recognized as powerful controllers to improve the dynamic performance. This system allows more efficient utilization of the existing electricity infrastructure. The standard FACTS controllers are linear controllers designed around a specific operating point from a linearized system model with fixed parameters. At other operating points or in the event of a major disturbance, those linear controllers may not guarantee acceptable performance or stability. A novel approach of artificial intelligence (AI) technique called Hybrid Neuro-Fuzzy approach was designed for the external coordinated control of Static Synchronous Series Compensator (SSSC) based damping controllers. The advantage of this approach is that it can handle the nonlinearities, at the same time it is faster than other conventional controllers. ANFIS (Adaptive Neuro-Fuzzy Inference System) was employed for the training of the proposed fuzzy-logic controllers (FLC). Simulation studies were carried out in MATLAB/SIMULINK environment to evaluate the effectiveness of the proposed nonlinear intelligent controllers on multi-machine power systems. Results showed that the proposed Neuro-Fuzzy intelligent control has a satisfactory performance during a three-phase short circuit fault. }, added-at = {2012-08-08T07:23:49.000+0200}, author = {D.Murali1, Dr.M.Rajaram}, biburl = {https://www.bibsonomy.org/bibtex/203ea074ac877b08da2eb05d8aec5f895/idesajith}, editor = {Dr.Vinu.V.Das}, interhash = {40c882f232f89495e2246bcdab7d7287}, intrahash = {03ea074ac877b08da2eb05d8aec5f895}, journal = {Aceee International Journal on Recent Trends in Engineering and Technology}, keywords = {ANFIS Coordinated Damping control performance}, number = 3, pages = 6, timestamp = {2012-08-08T07:23:50.000+0200}, title = {An Improved Control Scheme Applied to Static Synchronous Series Compensators for Damping of Oscillations in Multi-Machine Power Systems }, url = {/brokenurl#doi.searchdl.org/01.IJRTET.4.3.15}, volume = 4, year = 2010 }