Optimized Strategy for Enhancing DC-Microgrid's Performance using Local Unimodal Sampling (LUS) optimization algorithm

Hady, Ahmed Abdel; Mokhtar, Mohamed; Attia, Mahmoud A.; Sameh, Mariam A.;

Abstract


Due to its great benefits, the implementation of DC Microgrids has been increasing over the past few years. This led to attracting the researchers to improve its control to maximize its performance as possible. Droop resistance control is one of the most used control approaches. In this paper, Local Unimodal Sampling (LUS) optimization is used to optimize the values of droop resistance to ensure the best current sharing. Also, optimization is carried out to optimize the gains of fractional order PID controller of the droop controller which grantee ideal current sharing and minimized voltage deviation.


Other data

Title Optimized Strategy for Enhancing DC-Microgrid's Performance using Local Unimodal Sampling (LUS) optimization algorithm
Authors Hady, Ahmed Abdel; Mokhtar, Mohamed ; Attia, Mahmoud A.; Sameh, Mariam A.
Keywords Control;DC Microgrids;Droop resistance;Local Unimodal sampling (LUS);Optimization
Issue Date 1-Jan-2022
Conference 2022 23rd International Middle East Power Systems Conference, MEPCON 2022
ISBN [9781665463638]
DOI 10.1109/MEPCON55441.2022.10021783
Scopus ID 2-s2.0-85147668068

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