Abstract
In this work, automatic generation control (AGC) of multi-area multi-source hydrothermal system with Fuzzy PID controller (FPID) is considered. Differential evolution (DE) optimization technique is used to tune the controller gains and the integral time absolute error (ITAE) is used as an objective function. The proposed approaches advantages are recognized by contrasting its simulation results with GWO tuned PID, BFOA tuned FOPID, and hFA-PS tuned PI/PID controller for the same test conditions. It is observed from simulation results that proposed Fuzzy PID outperforms as compared to conventional controller. Lastly, sensitivity analysis has been performed to test the robustness of suggested approach.
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Appendix
Pri = 2000 MW, F = 60 Hz, Tgi = 0.08 s, Kri = 0.5, Tri = 10 s, Tti = 0.3 s, R1 = 2 Hz/puMW, TGHi = 0.513 s, TWi = 1 s, R2 = 2.4 Hz/puMW, T12 = 0.545 puMW/Hz, Bi = 0.425 puMW/Hz, TRHi = 48.7 s, TRi = 5 s, a12 = −1, KPSi = 100 Hz/puMW, TPSi = 20 s, initial loading = 50%.
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Chintu, J.M.R., Sahu, R.K. (2020). Differential Evolution Optimized Fuzzy PID Controller for Automatic Generation Control of Interconnected Power System. In: Das, A., Nayak, J., Naik, B., Dutta, S., Pelusi, D. (eds) Computational Intelligence in Pattern Recognition. Advances in Intelligent Systems and Computing, vol 1120. Springer, Singapore. https://doi.org/10.1007/978-981-15-2449-3_10
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DOI: https://doi.org/10.1007/978-981-15-2449-3_10
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