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• W3017769556 abstract "Purpose In computer application scenario, data mining task is rarely utilized in power system, as an enhanced part, this work presented data mining task in power systems, to overcome frequency deviation issues. Load frequency control (LFC) is a primary challenging problem in an interconnected multi-area power system. Design/methodology/approach This paper adopts lion algorithm (LA) for the LFC of two area multi-source interconnected power systems. The LA calculates the optimal gains of the fractional order PI (FOPI) controller and hence the proposed LA-based FOPI controller (LFOPI) is developed. Findings For the performance analysis, the proposed algorithm compared with various algorithm is given as, 80.6% lesser than the FOPI algorithm, 2.5% lesser than the GWO algorithm, 2.5% lesser than the HSA algorithm, 4.7% lesser than the BBO algorithm, 1.6% lesser than PSO algorithm and 80.6% lesser than the GA algorithm. Originality/value The LFOPI controller is the proposed controlling method, which is nothing but the FOPI controller that gets the optimal gain using the LA. This method produces better performance in terms of converging behavior, optimization of controller gain, transient profile and steady-state response." @default.
• W3017769556 created "2020-05-01" @default.
• W3017769556 creator A5048700924 @default.
• W3017769556 creator A5062651281 @default.
• W3017769556 date "2020-04-25" @default.
• W3017769556 modified "2023-09-26" @default.
• W3017769556 title "LFOPI controller: a fractional order PI controller based load frequency control in two area multi-source interconnected power system" @default.
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• W3017769556 doi "https://doi.org/10.1108/dta-08-2019-0126" @default.
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