DocumentCode :
330478
Title :
Target oriented intelligent predictive evaluating control approach for FACTS devices
Author :
Qiang, LU ; Yuanzhang, Sun ; Chen, Shen ; Shengwei, Mei ; Konishi, Hiroo
Author_Institution :
Dept. of Electr. Eng., Tsinghua Univ., Beijing, China
Volume :
1
fYear :
1998
fDate :
18-21 Aug 1998
Firstpage :
389
Abstract :
This paper presents a multi-target oriented optimal control strategy for FACTS devices named the intelligent predictive-evaluating control (IPEC) method. The novel control approach synthesizes advantages of the predictive control method and the inverse control system principle, and divides the procedure of determining the control signals of FACTS devices into two steps. The first step is to select the optimal output from all output candidates of FACTS devices, the second is to calculate the real control signals according to the selected output. The controller based on the IPEC applies the artificial neural network technology to set up power systems´ predictive model and utilizes the fuzzy reasoning method to solve the multi-target optimization problem. Its structure is also introduced in detail in this paper
Keywords :
control system synthesis; flexible AC transmission systems; intelligent control; optimal control; power transmission control; predictive control; FACTS devices; artificial neural network technology; control design; fuzzy reasoning method; inverse control system principle; multi-target optimization problem; optimal control strategy; power systems; predictive control method; real control signals calculation; target oriented intelligent predictive evaluating control; Artificial neural networks; Control system synthesis; Fuzzy reasoning; Intelligent control; Optimal control; Optimization methods; Power system modeling; Predictive control; Predictive models; Signal synthesis;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Power System Technology, 1998. Proceedings. POWERCON '98. 1998 International Conference on
Conference_Location :
Beijing
Print_ISBN :
0-7803-4754-4
Type :
conf
DOI :
10.1109/ICPST.1998.728992
Filename :
728992
Link To Document :
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