AGC Investigation in Wind-Thermal-Hydro-Diesel Power System with 1 Plus Fractional Order Integral Plus Derivative Controller
Jyoti Ranjan Padhi1, Manoj Kumar Debnath2, Sushobhan Pal3, Sanjeeb Kumar Kar4
1Jyoti Ranjan Padhi, Department of Electrical Engineering, Siksha ”O” Anusandhan Deemed to be University, Bhubaneswar (Odisha), India.
2Manoj Kumar Debnath, Department of Electrical Engineering, Siksha ”O” Anusandhan Deemed to be University, Bhubaneswar (Odisha), India.
3Sushobhan Pal, Department of Electrical Engineering, Siksha ”O” Anusandhan Deemed to be University, Bhubaneswar (Odisha), India.
4Sanjeeb Kumar Kar, Department of Electrical Engineering, Siksha ”O” Anusandhan Deemed to be University, Bhubaneswar (Odisha), India.
Manuscript received on 26 May 2019 | Revised Manuscript received on 13 June 2019 | Manuscript Published on 26 June 2019 | PP: 281-286 | Volume-8 Issue-1S5 June 2019 | Retrieval Number: 90681S519/2019©BEIESP
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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: This research paper consists of the working of the 1 plus Fractional order integral plus derivative (1-FOI-D) controller implemented in a two area hybrid source interconnected system containing Wind-Thermal-Hydro-Diesel units. The Symbiotic Organisms Search (SOS) algorithm is used here for the optimization process for the 1-FOI-D controller’s scaling factors, when the system is subjected to a step load perturbation (SLP) of about 1% in the first area. Here the performance of 1-FOI-D controller is compared with the traditional PID controllers tuned by the SOS optimization. Then the robustness of the introduced controller which is used in the two-area interconnected system is analyzed by applying the load perturbations in both the areas simultaneously. The results of individual controllers are compared on the basis of various time response evaluative factors such as peak overshoots, settling time and peak undershoot.
Keywords: Symbiotic Organisms Search Algorithm, Optimal Controller Design, Fractional Order controller, Load Frequency Control.
Scope of the Article: Low-power design