Design of a Proportional-Integral-Derivative Controller for an Automatic Generation Control of Multi-area Power Thermal Systems Using Firefly Algorithm |
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| K. Jagatheesan, B. Anand, Sourav Samanta, Nilanjan Dey, Amira S. Ashour and Valentina E. Balas, "Design of a Proportional-Integral-Derivative Controller for an Automatic Generation Control of Multi-area Power Thermal Systems Using Firefly Algorithm," IEEE/CAA J. Autom. Sinica, vol. 6, no. 2, pp. 503-515, Mar. 2019. doi: 10.1109/JAS.2017.7510436 |
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| Authors: | K. Jagatheesan B. Anand Sourav Samanta Nilanjan Dey Amira S. Ashour Valentina E. Balas |
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| Affiliation: | 1. Department of Electrical & Electronics Eng., Mahendra Institute of Eng. & Tech., Namakkal, Tamilnadu, India;2. Department of Electrical & Electronics Eng., Hindusthan College of Eng. & Tech., Coimbatore, Tamilnadu, India;3. Department of Computer Science & Engineering, University Institute of Technology, The University of Burdwan, Burdwan, West Bengal, India;4. Department of Information Technology, Techno India College of Technology, Kolkata, India;5. Department of Electronics and Electrical Communications Engineering, Faculty of Engineering, Tanta University, Egypt;6. Faculty of Engineering, Aurel Vlaicu University of Arad, Romania |
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| Abstract: | Essentially, it is significant to supply the consumer with reliable and sufficient power. Since, power quality is mea sured by the consistency in frequency and power flow between control areas. Thus, in a power system operation and control, automatic generation control (AGC) plays a crucial role. In this paper, multi-area (Five areas: area 1, area 2, area 3, area 4 and area 5) reheat thermal power systems are considered with proportional-integral-derivative (PID) controller as a supplemen tary controller. Each area in the investigated power system is equipped with appropriate governor unit, turbine with reheater unit, generator and speed regulator unit. The PID controller parameters are optimized by considering nature bio-inspired firefly algorithm (FFA). The experimental results demonstrated the comparison of the proposed system performance (FFA-PID) with optimized PID controller based genetic algorithm (GA PID) and particle swarm optimization (PSO) technique (PSO PID) for the same investigated power system. The results proved the efficiency of employing the integral time absolute error (ITAE) cost function with one percent step load perturbation (1% SLP) in area 1. The proposed system based FFA achieved the least settling time compared to using the GA or the PSO algorithms, while, it attained good results with respect to the peak overshoot/undershoot. In addition, the FFA performance is improved with the increased number of iterations which outperformed the other optimization algorithms based controller. |
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| Keywords: | Automatic generation control (AGC) firefly algorithm genetic algorithm (GA) particle swarm optimization |
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