E3S Web Conf.
Volume 87, 20191st International Conference on Sustainable Energy and Future Electric Transportation (SeFet 2019)
|Number of page(s)||6|
|Published online||22 February 2019|
Application of Search Group Algorithm for Automatic Generation Control of Multi-area Multi-source Power Systems
Department of Electrical Engineering, Veer Surendra Sai University of Technology (VSSUT), Burla-768018, Odisha, India
* Corresponding author: firstname.lastname@example.org
This paper proposes a new Search Group Algorithm based PID controller, to deal with Automatic Generation Control of two-area with six unit power system. The supremacy of SGA tuned PID controller is being shown using the comparative study with Firefly Algorithm (FA) optimization method for the same test system using ITAE as an objective function. It has been demonstrated that SGA tuned PID controller improves the performance in a large compared with FA tuned PID controller. Furthermore variation in nominal values of operating load condition and system parameters with the position of step load perturbation is being carried out to achieve sensitivity analysis. From the result of sensitivity analysis it clearly depicts the robustness of the suggested method (SGA with PID controller) for two-area with six unit power system in AGC. Finally for better investigation, the proposed method is also examined by applying randomization in step load.
© The Authors, published by EDP Sciences, 2019
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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