A networked hierarchical control scheme for wide‐area systems: A power system application

2019 ◽  
Vol 22 (6) ◽  
pp. 2500-2512
Author(s):  
Morteza Khayyer ◽  
Malihe Maghfoori Farsangi ◽  
Ehsan Bijami
Keyword(s):  
Power System ◽  
System Application ◽  
Hierarchical Control ◽  
Wide Area ◽  
Control Scheme

Wide area adaptive hybrid fuzzy STATCOM controller for dynamic stability enhancement

2016 ◽  
Vol 35 (5) ◽  
pp. 1830-1849 ◽  
Author(s):  
Aman Ganesh ◽  
Ratna Dahiya ◽  
Girish Kumar Singh
Keyword(s):  
Power System ◽  
Intelligent Control ◽  
Fuzzy Inference ◽  
Fuzzy Controller ◽  
Wide Area ◽  
Neural Controller ◽  
Content Type ◽  
Adaptive Fuzzy Controller ◽  
Control Scheme ◽  
Wide Operating

Purpose The purpose of this paper is to develop an adaptive fuzzy controller for STATCOM to damp low-frequency inter-area oscillation over wide operating range using wide area signals in multimachine power system. Design/methodology/approach In this paper tuneable fuzzy model is proposed where the parameters of the fuzzy inference system are tuned by using the adaptive characteristic of the artificial neural network. Based on back propagation algorithm and method of least square estimation, the fuzzy inference rule base is tweaked according to the data from which they are modelled. The wide area control signals, for the proposed controller, available in the power system are selected on the basis of eigenvalue sensitivity defined in terms of participation factor. Findings The effectiveness of the proposed controller with wide area signals is tested on two test cases, namely, two area network and IEEE 12 bus benchmark system. The comparative analysis of the proposed adaptive fuzzy controller is carried out with conventional STATCOM controller along with fuzzy-and neural-based supplementary controller all using selected wide area signals. The results show that neural network tuned fuzzy controller leads to better system identification and have enhanced damping characteristics over wide operating range. Originality/value In the available literature, numerous researchers have indicated the use of fuzzy logic controller and neural controller along with their hybrid schemes as STATCOM controller for improving the dynamics of the multimachine power system using local signals. The main contribution of the paper is in using the hybrid intelligent control scheme for STATCOM using wide area signals. The advantage of proposed scheme is that the performance of well-designed fuzzy system can be enhanced with the same training data that are used for designing a neural controller thus giving enhanced performance in comparison to individual intelligent control scheme.

Data-driven adaptive control of wide-area non-linear systems with input and output saturation: A power system application

2021 ◽  
Vol 133 ◽  
pp. 107225
Author(s):  
Yasin Asadi ◽  
Malihe Maghfoori Farsangi ◽  
Ehsan Bijami ◽  
Ali Moradi Amani ◽  
Kwang Y. Lee
Keyword(s):  
Adaptive Control ◽  
Power System ◽  
Linear Systems ◽  
System Application ◽  
Data Driven ◽  
Wide Area ◽  
Input And Output ◽  
Non Linear ◽  
Non Linear Systems

Distributed Control of Networked Wide-Area Systems: A Power System Application

2020 ◽  
Vol 11 (4) ◽  
pp. 3334-3345 ◽  
Author(s):  
Ehsan Bijami ◽  
Malihe M. Farsangi ◽  
Kwang Y. Lee
Keyword(s):  
Power System ◽  
Distributed Control ◽  
System Application ◽  
Wide Area

Wide-area Power System Oscillation Damping using Model Predictive Control Technique

2011 ◽  
Vol 131 (7) ◽  
pp. 536-541 ◽  
Author(s):  
Tarek Hassan Mohamed ◽  
Abdel-Moamen Mohammed Abdel-Rahim ◽  
Ahmed Abd-Eltawwab Hassan ◽  
Takashi Hiyama
Keyword(s):  
Model Predictive Control ◽  
Power System ◽  
Predictive Control ◽  
Wide Area ◽  
Control Technique ◽  
Oscillation Damping
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