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Load Frequency Control (LFC) of a Multiarea Restructured Hybrid Powersystem on Multi objective SSA
VSR Pavan Kumar Neeli1, U Salma2

1V.S.R. Pavan Kumar Neeli, Assistant Professor, Department of EEE, Sir. C.R. Reddy College of Engineering, Eluru (Andhra Pradesh), India.

2Dr. U. Salma, Associate Professor, Department of EEE, GITAM, Deemed to be University, Visakhapatnam (Andhra Pradesh), India.

Manuscript received on 25 November 2019 | Revised Manuscript received on 13 December 2019 | Manuscript Published on 30 December 2019 | PP: 395-402 | Volume-9 Issue-2S3 December 2019 | Retrieval Number: B10071292S319/2019©BEIESP | DOI: 10.35940/ijitee.B1007.1292S319

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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open-access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)

Abstract: The aimof the paper tune the paramters of the load frequency controller using a latest and novel algorithm named as Salp sarm of algorithm with multiobjective approach. The test system choosen is a Two area interconnected hybrid power system under deregulated-environment integrated with Distributd genertion (DG) resource. The DG systems consists of Windturbine generator(WTG), SolarPV systems, Diesels engines generators(DEG), Fuelcells with Aqua electrolyzers and Energy storages like Batteries energy storage systems(BESS). To minimise the frequency of oscillations, Secondarycontroller opted was an optimal Fuzzy PID plus double integral controller (FPID-II). The effectiveness of proposed controller is determined with the comparison of nominal PI, PID and Two degree freedom PID (TDOFPID) controller. Furthermore the dynamic responses of SSA tuned FPID-II controller are been compared with other optimization techniques. The results depit the superiority of the proposed controller in suppressing the deviations of frequency.

Keywords: Hybrid Power System, Salp swarm Algorithm, Fuzzy PID Plus Double Integral Controller, MATLAB/Simulink.
Scope of the Article: Frequency Selective Surface