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Article

Different Fuzzy Control Configurations Tuned by the Bees Algorithm for LFC of Two-Area Power System †

1
Wolfson Centre for Magnetics, School of Engineering, Cardiff University, Cardiff CF24 3AA, UK
2
High Value Manufacturing Group, School of Engineering, Cardiff University, Cardiff CF24 3AA, UK
*
Author to whom correspondence should be addressed.
This paper is an extended version of our paper published in IEEE 2021 56th International Universities Power Engineering Conference (UPEC), Middlesbrough, UK, 31 August–3 September 2021; pp. 1–6.
Academic Editors: Miguel Castilla and Abu-Siada Ahmed
Energies 2022, 15(2), 657; https://doi.org/10.3390/en15020657
Received: 7 December 2021 / Revised: 27 December 2021 / Accepted: 14 January 2022 / Published: 17 January 2022
This study develops and implements a design of the Fuzzy Proportional Integral Derivative with filtered derivative mode (Fuzzy PIDF) for Load Frequency Control (LFC) of a two-area interconnected power system. To attain the optimal values of the proposed structure’s parameters which guarantee the best possible performance, the Bees Algorithm (BA) and other optimisation tools are used to accomplish this task. A Step Load Perturbation (SLP) of 0.2 pu is applied in area one to examine the dynamic performance of the system with the proposed controller employed as the LFC system. The supremacy of Fuzzy PIDF is proven by comparing the results with those of previous studies for the same power system. As the designed controller is required to provide reliable performance, this study is further extended to propose three different fuzzy control configurations that offer higher reliability, namely Fuzzy Cascade PI − PD, Fuzzy PI plus Fuzzy PD, and Fuzzy (PI + PD), optimized by the BA for the LFC for the same dual-area power system. Moreover, an extensive examination of the robustness of these structures towards the parametric uncertainties of the investigated power system, considering thirteen cases, is carried out. The simulation results indicate that the contribution of the BA tuned the proposed fuzzy control structures in alleviating the overshoot, undershoot, and the settling time of the frequency in both areas and the tie-line power oscillations. Based on the obtained results, it is revealed that the lowest drop of the frequency in area one is −0.0414 Hz, which is achieved by the proposed Fuzzy PIDF tuned by the BA. It is also divulged that the proposed techniques, as was evidenced by their performance, offer a good transient response, a considerable capability for disturbance rejection, and an insensitivity towards the parametric uncertainty of the controlled system. View Full-Text
Keywords: load frequency control (LFC); two-area power system; fuzzy logic control; bees algorithm (BA); particle swarm optimization (PSO); teaching learning based optimization (TLBO) load frequency control (LFC); two-area power system; fuzzy logic control; bees algorithm (BA); particle swarm optimization (PSO); teaching learning based optimization (TLBO)
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MDPI and ACS Style

Shouran, M.; Anayi, F.; Packianather, M.; Habil, M. Different Fuzzy Control Configurations Tuned by the Bees Algorithm for LFC of Two-Area Power System. Energies 2022, 15, 657. https://doi.org/10.3390/en15020657

AMA Style

Shouran M, Anayi F, Packianather M, Habil M. Different Fuzzy Control Configurations Tuned by the Bees Algorithm for LFC of Two-Area Power System. Energies. 2022; 15(2):657. https://doi.org/10.3390/en15020657

Chicago/Turabian Style

Shouran, Mokhtar, Fatih Anayi, Michael Packianather, and Monier Habil. 2022. "Different Fuzzy Control Configurations Tuned by the Bees Algorithm for LFC of Two-Area Power System" Energies 15, no. 2: 657. https://doi.org/10.3390/en15020657

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