A Novel Improved GSA-BPSO Driven PID Controller for Load Frequency Control of Multi-Source Deregulated Power System

Ajay Kumar, Deepak Kumar Gupta, Sriparna Roy Ghatak, Bhargav Appasani, Nicu Bizon () and Phatiphat Thounthong
Additional contact information
Ajay Kumar: School of Electrical Engineering, Kalinga Institute of Industrial Technology, Bhubaneswar 751024, India
Deepak Kumar Gupta: School of Electrical Engineering, Kalinga Institute of Industrial Technology, Bhubaneswar 751024, India
Sriparna Roy Ghatak: School of Electrical Engineering, Kalinga Institute of Industrial Technology, Bhubaneswar 751024, India
Bhargav Appasani: School of Electronics Engineering, Kalinga Institute of Industrial Technology, Bhubaneswar 751024, India
Nicu Bizon: Faculty of Electronics, Communication and Computers, University of Pitesti, 110040 Pitesti, Romania
Phatiphat Thounthong: Renewable Energy Research Centre (RERC), Faculty of Technical Education, King Mongkut’s University of Technology North Bangkok, 1518 Pracharat 1 Road, Wongsawang, Bangsue, Bangkok 10800, Thailand

Mathematics, 2022, vol. 10, issue 18, 1-41

Abstract: In this paper, a novel improved gravitational search algorithm–binary particle swarm optimization (IGSA-BPSO) driven proportional-integral-derivative (PID) controller is proposed to deal with issues of automatic generation control (AGC) of interconnected multi-source (thermal-hydro-gas) multi-area deregulated power systems. The effectiveness and robustness of the proposed controller is compared and analyzed with GSA and PSO-driven PID controllers. The simulated and mathematically formulated results show the superiority of the proposed IGSA-BPSO driven PID controller compared with the other two techniques in settling time, overshoot, and convergence time. The two-area test system considered in this article is integrated with a thermal, hydro, and gas turbine power plant. Integral time multiplied by absolute error (ITAE) is used as the objective function (minimization) by optimization techniques for getting optimum parameters of PID controllers installed in each area. The system’s dynamics are examined using poolco, bilateral, and contract violation cases under a deregulated environment, and the comparative results are shown to analyze the efficacy of the proposed concept. Physical constraints such as generation rate constraints (GRC) and time-delay (TD) have been considered in the system as a realistic approach. This paper considers an accurate AC-DC tie-link model for the proposed AGC mechanism. Dynamic load change condition is tested and verified. The variations of different parameters will be used in the robustness analysis of the proposed system. The comparison shows that the designed controllers are more robust and produce better results than those considered as references.

Keywords: dynamic load changes; AC-DC tie-link; GRC; IGSA-BPSO; restructured power system; PID (search for similar items in EconPapers)
JEL-codes: C (search for similar items in EconPapers)
Date: 2022
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (1)

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