Abstract
This paper presents the design and performance analysis of Gravitational Search algorithm (GSA) based Proportional Integral (PI) controller and Proportional Integral Derivative controller with derivative Filter (PIDF) for Automatic Generation Control (AGC) of multi-area power system. At first, various conventional error criterions such as Integral of Absolute Error (IAE), Integral of Square Error (ISE), Integral of Time multiplied by Square Error (ITSE) and Integral of Time multiplied by Absolute value of Error (ITAE) are considered and the PI controller parameters are optimized employing GSA. The effect of objective function on system performance in terms of settling time, maximum overshoot and minimum damping ratio are analyzed. The control parameters of GSA algorithm are tuned by carrying out multiple runs of algorithm for each control parameter variation. The superiority of the proposed GSA optimized PI/PIDF controller is demonstrated by comparing the results with some recently published modern heuristic optimization techniques such as Differential Evolution (DE), Bacteria Foraging Optimization Algorithm (BFOA) and Genetic Algorithm (GA) for the same interconnected power system.
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Sahu, R.K., Rout, U.K., Panda, S. (2013). Automatic Generation Control of Multi-area Power System Using Gravitational Search Algorithm. In: Panigrahi, B.K., Suganthan, P.N., Das, S., Dash, S.S. (eds) Swarm, Evolutionary, and Memetic Computing. SEMCCO 2013. Lecture Notes in Computer Science, vol 8297. Springer, Cham. https://doi.org/10.1007/978-3-319-03753-0_48
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DOI: https://doi.org/10.1007/978-3-319-03753-0_48
Publisher Name: Springer, Cham
Print ISBN: 978-3-319-03752-3
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