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Ant Lion Optimized Fractional Order Fuzzy Pre-Compensated Intelligent Pid Controller for Frequency Stabilization of Interconnected Multi-Area Power Systems

by A. H. Gomaa Haroun 1,2,* and Yin-Ya Li 1
1
School of Automation, Nanjing University of Science and Technology, Nanjing 210094, China
2
College of Engineering Sciences, Department of Electrical and Electronics Engineering, Nyala University, South Darfur, Nyala A43, Sudan
*
Author to whom correspondence should be addressed.
Appl. Syst. Innov. 2019, 2(2), 17; https://doi.org/10.3390/asi2020017
Received: 15 April 2019 / Revised: 8 May 2019 / Accepted: 9 May 2019 / Published: 15 May 2019
Load frequency control (LFC) is considered to be the most important strategy in interconnected multi-area power systems for satisfactory operation and distribution. In order to transfer reliable power with acceptable quality, an LFC mechanism requires highly efficacy and intelligent techniques. In this paper, a novel hybrid fractional order fuzzy pre-compensated intelligent proportional-integral-derivative (PID) (FOFP-iPID) controller is proposed for the LFC of a realistic interconnected two-area power system. The proposed FOFP-iPID controller is incorporated into the power system as a secondary controller. In doing so, the parameters of the suggested FOFP-iPID controller are optimized using a more recent evolutionary computational technique called the Ant lion optimizer (ALO) algorithm utilizing an Integral of Time multiplied Absolute Error (ITAE) index. Simulation results demonstrated that the proposed FOFP-iPID controller achieves better dynamics performance under a wide variation of load perturbations. The supremacy of the proposed FOFP-iPID controller is demonstrated by comparing the results with some existing controllers, such as fractional order PID (FOPID) and fractional order intelligent PID (FOiPID) controllers for the identical system. Finally, the sensitivity analysis of the plant is examined and the simulation results showed that the suggested FOFP-iPID controller is robust and performs satisfactorily despite the presence of uncertainties. View Full-Text
Keywords: interconnected multi-area power system; fractional order fuzzy pre-compensated intelligent PID (FOFP-iPID) controller; ALO algorithm interconnected multi-area power system; fractional order fuzzy pre-compensated intelligent PID (FOFP-iPID) controller; ALO algorithm
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Gomaa Haroun, A.H.; Li, Y.-Y. Ant Lion Optimized Fractional Order Fuzzy Pre-Compensated Intelligent Pid Controller for Frequency Stabilization of Interconnected Multi-Area Power Systems. Appl. Syst. Innov. 2019, 2, 17.

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