Frequency Regulation of Microgrid using Fuzzy-logic based controllers

Now-a-days, the microgrids become more popular and the alternative for the conventional grid. Since microgrid consists number of renewable sources, its frequency regulation is a challengeable task for the operation personnel. In this article, adaptive fuzzy logic controller is designed by tuning inp...

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Bibliographic Details
Published in2023 International Conference in Advances in Power, Signal, and Information Technology (APSIT) pp. 120 - 123
Main Authors Sahoo, Subhadra, Jena, Narendra Kumar, Anurag, Aditya, Naik, Amiya Kumar, Sahu, Binod Kumar, Sahu, Prakash Chandra
Format Conference Proceeding
LanguageEnglish
Published IEEE 09.06.2023
Subjects
Adaptive Fuzzy Logic based PI controller (AD-F-PI)
Fuzzy logic
Fuzzy Logic Controller (FLC)
Micro-grid (MG)
Microgrids
Personnel
PI control
Power system stability
Renewable energy sources
Stability criteria
Wild-Goat Algorithm (WGA)
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DOI10.1109/APSIT58554.2023.10201752

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Summary:Now-a-days, the microgrids become more popular and the alternative for the conventional grid. Since microgrid consists number of renewable sources, its frequency regulation is a challengeable task for the operation personnel. In this article, adaptive fuzzy logic controller is designed by tuning input and output scaling factors through another fuzzy logic unit. The developed controller is used as the secondary controller to improve the dynamic stability of the microgrid. The results obtained by using the designed controller is compared with that of normal Fuzzy-logic based PI controller and the robust PID controller. The gain parameters of the above controllers are selected through Wild-Goat Algorithm (WGA).
DOI:10.1109/APSIT58554.2023.10201752