2015 Intelligent Systems and Computer Vision (ISCV) 2015
DOI: 10.1109/isacv.2015.7106173
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Optimal H<inf>&#x221E;</inf> control without reaching phase with the differential evolution PID based on PSS for multi-machine power system

Abstract: The objective of this paper is to design a nonlinear robust controller for the multi-machine power systems. We present in this study an optimal H∞ tracking control without reaching phase combined with the Proportional Integral Derivative based on Power System Stabilizer (PID-PSS) optimized by Differential Evolution algorithm . To eliminate the tradeoffs between the H ∞ tracking performance and the high gain at the control input, we have defined a new method based on the modified output tracking error by using … Show more

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Cited by 6 publications
(1 citation statement)
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“…Researchers found some lacks in GA performance, which looked at the application with greatly epistatic objective functions. Also, the hasty convergence of GA reduces its act and decreases the search capability [13,15] Secondly, PSS design, by robust & evolutionary control techniques as H∞ control [16,17], quantitative feedback theory [18], & sliding mode [19]. Thirdly, researchers work to enhance PSS performance by changing its structure, optimal and a suboptimal power system stabilizer [20], fractional-order proportionalintegral-differential (FOPID) controller [21], multi-band PSS [7,22].…”
Section: Introductionmentioning
confidence: 99%
“…Researchers found some lacks in GA performance, which looked at the application with greatly epistatic objective functions. Also, the hasty convergence of GA reduces its act and decreases the search capability [13,15] Secondly, PSS design, by robust & evolutionary control techniques as H∞ control [16,17], quantitative feedback theory [18], & sliding mode [19]. Thirdly, researchers work to enhance PSS performance by changing its structure, optimal and a suboptimal power system stabilizer [20], fractional-order proportionalintegral-differential (FOPID) controller [21], multi-band PSS [7,22].…”
Section: Introductionmentioning
confidence: 99%