Automatic Generation Control of Multi-Source Interconnected Power System Using FOI-TD Controller

Amil Daraz, Suheel Abdullah Malik, Athar Waseem, Ahmad Taher Azar, Ihsan Ul Haq, Zahid Ullah and Sheraz Aslam
Additional contact information
Amil Daraz: Department of Electrical Engineering, FET, International Islamic University, Islamabad 44000, Pakistan
Suheel Abdullah Malik: Department of Electrical Engineering, FET, International Islamic University, Islamabad 44000, Pakistan
Athar Waseem: Department of Electrical Engineering, FET, International Islamic University, Islamabad 44000, Pakistan
Ahmad Taher Azar: College of Computer & Information Sciences, Prince Sultan University, Riyadh 11586, Saudi Arabia
Ihsan Ul Haq: Department of Electrical Engineering, FET, International Islamic University, Islamabad 44000, Pakistan
Zahid Ullah: Department of Electrical Engineering, UMT Lahore, Sialkot Campus, Sialkot 51310, Pakistan
Sheraz Aslam: Department of Electrical Engineering, Computer Engineering, and Informatics, Cyprus University of Technology, Limassol 3036, Cyprus

Energies, 2021, vol. 14, issue 18, 1-18

Abstract: Automatic Generation Control (AGC) delivers a high quality electrical energy to energy consumers using efficient and intelligent control systems ensuring nominal operating frequency and organized tie-line power deviation. Subsequently, for the AGC analysis of a two-area interconnected hydro-gas-thermal-wind generating unit, a novel Fractional Order Integral-Tilt Derivative (FOI-TD) controller is proposed that is fine-tuned by a powerful meta-heuristic optimization technique referred as Improved-Fitness Dependent Optimizer (I-FDO) algorithm. For more realistic analysis, various constraints, such as Boiler Dynamics (BD), Time Delay (TD), Generation Rate Constraint (GRC), and Governor Dead Zone (GDZ) having non-linear features are incorporated in the specified system model. Moreover, a comparative analysis of I-FDO algorithm is performed with state-of-the-art approaches, such as FDO, teaching learning based optimization, and particle swarm optimization algorithms. Further, the proposed I-FDO tuned controller is compared with Fractional Order Tilt Integral Derivative (FOTID), PID, and Integral-Tilt Derivative (I-TD) controllers. The performance analysis demonstrates that proposed FOI-TD controller provides better performance and show strong robustness by changing system parameters and load condition in the range of  ± 50%, compared to other controllers.

Keywords: automatic generation control; fractional order controller; load frequency control; interconnected power system; optimization techniques (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2021
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (5)

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