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Sine Cosine Optimization Based Proportional Derivative-Proportional Integral Derivative Controller for Frequency Control of Hybrid Power System

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Computational Intelligence in Data Mining

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 990))

Abstract

This work introduces Sine Cosine Algorithm (SCA) for a hybrid power system and it is employed with one of a cascade controller called proportional derivative-proportional integral derivative controller (PD-PID) to maintain frequency regulation. The proposed hybrid power system comprises of thermal unit, wind turbine generators (WTGs), aqua electrolyze (AE), fuel cell (FC), diesel engine generator (DEG), battery energy storage (BES) system, ultracapacitor (UC) in area-1 and in area-2 the combination of hydro-thermal units are considered. The system is analyzed under different cases: step load disturbance in both the areas, band limited noise in both the areas and step disturbance with noise at the wind system. The supremacy of the proposed controller is analyzed with PIDF controller on the same platform.

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Correspondence to Tulasichandra Sekhar Gorripotu .

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Gorripotu, T.S., Ramana, P., Sahu, R.K., Panda, S. (2020). Sine Cosine Optimization Based Proportional Derivative-Proportional Integral Derivative Controller for Frequency Control of Hybrid Power System. In: Behera, H., Nayak, J., Naik, B., Pelusi, D. (eds) Computational Intelligence in Data Mining. Advances in Intelligent Systems and Computing, vol 990. Springer, Singapore. https://doi.org/10.1007/978-981-13-8676-3_66

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