Impact of Fuzzy PID and PSO-PID Controllers on the Load Frequency Control of Interconnected Microgrids
International Journal of Electrical and Electronics Engineering |
© 2023 by SSRG - IJEEE Journal |
Volume 10 Issue 7 |
Year of Publication : 2023 |
Authors : Ranjit Singh, L. Ramesh |
How to Cite?
Ranjit Singh, L. Ramesh, "Impact of Fuzzy PID and PSO-PID Controllers on the Load Frequency Control of Interconnected Microgrids," SSRG International Journal of Electrical and Electronics Engineering, vol. 10, no. 7, pp. 211-220, 2023. Crossref, https://doi.org/10.14445/23488379/IJEEE-V10I7P119
Abstract:
Microgrid technology is an alternative to the central grid for the electrification of the whole world and is termed an energy grid that can disconnect itself from the traditional grid and run independently. The grid acts as a bridge to connect residential buildings, houses, and small loads to the primary power sources. This type of interconnection has a demerit: when a fault in any part of the grid must be replaced, the rest of the system connected to it is also affected tremendously. Therefore, a microgrid acts as a primary option in this case. This paper aims to minimize the frequency deviations, which are the primary cause of power failures and disrupted electrical power flow. The load frequency control strategy has been employed to balance the generation and load. The model is simulated in MATLAB fuzzy PID Controller and PSO-PID Controller to minimize 2014b and the frequency deviations. The PSO Algorithm codes are designed on MATLAB function file, which helped to calibrate the gains of PID Controller in both the microgrids. The primary outcome of this article is the study of frequency oscillations and area control error, along with the impact of both controllers on the system. The necessary graphs indicate the capability of the PSO-PID controller when collated with a fuzzy PID Controller. Also, the robustness of the controllers is obtained by the dynamic load changes in each microgrid. The PSO-PID controller is quick and gives more accurate results in minimizing overshoot, error reduction, and rise time.
Keywords:
Area Control Error, Distributed energy sources, Frequency deviations, PSO Algorithm, UNSDG.
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