Optimal real-time tuning of autonomous distributed power systems using modern techniques

Optimal real-time tuning of autonomous distributed power systems using modern techniques

This work considers using a novel heuristic population-based evolutionary algorithm [viz., the moth flame optimization (MFO) algorithm] to regulate the conventional controller installed in an autonomous power system (APS). The moth flame optimization algorithm intends to produce the optimal magnitud...

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Bibliographic Details
Main Authors: Shamik Chatterjee, Ahmed Nura Mohammed, Sachin Mishra, Naveen Kumar Sharma, Ali Selim, Mohit Bajaj, Mahmoud Rihan, Salah Kamel
Format: Article
Language:English
Published: Frontiers Media S.A. 2023-03-01
Series:Frontiers in Energy Research
Subjects:
autonomous distributed power system
moth flame optimization (MFO) technique
Sugeno fuzzy logic
real time operation
PIDD 2 controller.
Online Access:https://www.frontiersin.org/articles/10.3389/fenrg.2023.1055845/full

Internet

https://www.frontiersin.org/articles/10.3389/fenrg.2023.1055845/full

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