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Sea Lion Optimized PID + DD Controller for Load Frequency Control of a Hybrid Power System

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Abstract

This article represents a hybrid power system (hPS) load frequency control (LFC) with a proportional integral derivative plus second-order derivative (PID + DD) controller. The proposed hPS includes conservative and some of the distributed sources of generation. The projected controller parameters are optimized with a recently developed and dominant Sea Lion Optimization (SLO) algorithm. The working of the projected controller is evaluated with the PID controller. The results of simulation expose that the performances of the hPS are improved with the projected controller in respect of minimized frequency variations and superior transient condition. The effective operation of this projected control design is recognized by taking various disturbances.

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Funding

This study was funded by X (grant number X)

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Authors and Affiliations

  1. Department of EEE, Lendi Institute of Engineering and Technology Jonnada, Vizianagaram, Andhra Pradesh, India

    B. V. S. Acharyulu & V. S. S. Anil Kumar Nayani

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  1. B. V. S. Acharyulu
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  2. V. S. S. Anil Kumar Nayani
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Correspondence to B. V. S. Acharyulu.

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This article is part of the topical collection “Enabling Innovative Computational Intelligence Technologies for IOT” guest edited by Omer Rana, Rajiv Misra, Alexander Pfeiffer, Luigi Troiano and Nishtha Kesswani.

Appendices

Appendix

Appendix A

D1 =D2 = 0.012(damping coefficient); M1 = M2 = 0.2 (Inertia constant);TFC = 4 s (T.C of FC); TBES = 0.1 s(T.C of BES); TFES = 0.1 s(T.C of FES); KU = -0.7(UC gain); TU = 0.9 (T.C of UC); TDEG = 2 s (T.C of DEG); TMT = 2 s (T.C of MT); TWTG = 1.5 s (T.C of WTG); TPV = 1.8 s (T.C of PV); TGTT = 0.5 s (T.C of GT turbine); TGTG = 0.2 s (T.C of GT governor); B = 0.425 pu MW/Hz.(biasing factor); R = 0.05 Hz/Mw (regulation); T12 = 20.06 s(time coefficient).

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Acharyulu, B.V.S., Nayani, V.S.S.A.K. Sea Lion Optimized PID + DD Controller for Load Frequency Control of a Hybrid Power System. SN COMPUT. SCI. 4, 567 (2023). https://doi.org/10.1007/s42979-023-02009-3

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