document: Intelligent optimal sieving method for FACTS device control in multi-machine systems A multi-target oriented optimal control strategy for FACTS devices installed in multi-machine power systems is presented in this paper , which is named the intelligent optimal sieving control -LRB- IOSC -RRB- method . This new method divides the FACTS device output region into several parts and selects one typical value from each part , which is called output candidate . Then , an intelligent optimal sieve is constructed , which predicts the impacts of each output candidate on a power system and sieves out an optimal output from all of the candidates . The artificial neural network technologies and fuzzy methods are applied to build the intelligent sieve . Finally , the real control signal of FACTS devices is calculated according to the selected optimal output through inverse system method . Simulation has been done on a three-machine power system and the results show that the proposed IOSC controller can effectively attenuate system oscillations and enhance the power system transient stability
doc_bio_tags: B I I I O B O O O O O O O O O O O O B O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O B O O O O O O O O O O O O O O O O O O O O O O O O B I I O O O O O O O O O O O O O O O O O O O O O O O O O O O O B I I I O B I O O O O O O O O O O O O B I O B O O O O O O B I I O B I I O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O
extractive_keyphrases: facts intelligent optimal sieving method intelligent optimal sieve artificial neural network technologies fuzzy methods control signal selected optimal output inverse system method
abstractive_keyphrases: intelligent control facts device control multi-machine systems multi-target oriented optimal control strategy three-machine power system system oscillations attenuation power system transient stability enhancement