2022
DOI: 10.1016/j.seta.2021.101916
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Simultaneous controllers for stabilizing the frequency changes in deregulated power system using moth flame optimization

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Cited by 7 publications
(7 citation statements)
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“…To tackle the AGC problem authors have utilized sine cosine algorithm for tuning gain of cascade FOPI-FOPD 6 and FOPI-FOPID 7 controller for three-area multi-source deregulated power system shown better dynamic performance as compared to commonly used classic controllers. Authors have offered a variety of traditional and adaptive ways for tuning the controller parameters in the restructured system like artificial cooperative search algorithm (ACSA), 8 opposition-based harmonic search (OHS), 9 ant lion optimizer (ALO), 10 moth flame optimization (MFO), 11,12 crow-search algorithm (CSA), 13 salp swarm algorithm (SSA), [14][15][16] imperialist competition algorithm (ICA), 17 bacterial foraging optimization (BFO), 18 volleyball premier league algorithm (VPLA), 19 water cycle algorithm (WCA), 20 mine blasting algorithm (MBA), 21 genetic algorithm (GA), 22 modified group search optimization algorithm (MGSOA), 23 opposition-based interactive search algorithm (OISA), 24 and selfish herd optimization technique (SHOT). 25 All of them have implemented different controllers to solve AGC problem with satisfactory and superior results.…”
Section: Literature Reviewmentioning
confidence: 99%
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“…To tackle the AGC problem authors have utilized sine cosine algorithm for tuning gain of cascade FOPI-FOPD 6 and FOPI-FOPID 7 controller for three-area multi-source deregulated power system shown better dynamic performance as compared to commonly used classic controllers. Authors have offered a variety of traditional and adaptive ways for tuning the controller parameters in the restructured system like artificial cooperative search algorithm (ACSA), 8 opposition-based harmonic search (OHS), 9 ant lion optimizer (ALO), 10 moth flame optimization (MFO), 11,12 crow-search algorithm (CSA), 13 salp swarm algorithm (SSA), [14][15][16] imperialist competition algorithm (ICA), 17 bacterial foraging optimization (BFO), 18 volleyball premier league algorithm (VPLA), 19 water cycle algorithm (WCA), 20 mine blasting algorithm (MBA), 21 genetic algorithm (GA), 22 modified group search optimization algorithm (MGSOA), 23 opposition-based interactive search algorithm (OISA), 24 and selfish herd optimization technique (SHOT). 25 All of them have implemented different controllers to solve AGC problem with satisfactory and superior results.…”
Section: Literature Reviewmentioning
confidence: 99%
“…Next, for tuning controller gains, researchers have considered various cost function which include tie-line power deviation and deviation in area frequencies such as integral (I) of squared error (ISE) and I of time multiplied SE (ITSE), I of absolute error (IAE), I of time multiplied AE (ITAE). [6][7][8][9][10][11][12][13][14][15][16][17][18][19][20][21][22][23][24][25] Alhelou et al 26 compared performance of various cost function in load frequency control (LFC) reveals that ITSE shows lower peak of frequency deviation, overshoot and settling time than mostly used cost function that is, ISE.…”
Section: Literature Reviewmentioning
confidence: 99%
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