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Microgrids are increasingly being adopted as alternatives to traditional power transmission networks, necessitating improved performance strategies. Various mathematical optimization techniques are used to determine optimal controller parameters for these systems. These optimization methods can generally be categorized into natural, biological, and engineering-based approaches. In this research, the authors evaluated and compared several optimization techniques to enhance the secondary controller of DC microgrids, focusing on reducing operating time and minimizing error rates. Optimization tools were utilized to identify the optimal gain control parameters, aiming to achieve the best possible system performance. The enhanced controller response enables quicker recovery to steady-state conditions during sudden disturbances. The root-mean-square error (RMSE) served as a performance metric, with the proposed approach achieving a 15% reduction in RMSE compared to previous models. This improvement contributes to faster response times and lower energy consumption in microgrid operation.
Details
Parameter identification;
Distributed generation;
Mathematical analysis;
Infrastructure;
Energy industry;
Communication;
Emissions;
Optimization techniques;
Root-mean-square errors;
Electricity generation;
Renewable resources;
Electric power;
Optimization;
Systems stability;
Energy storage;
Energy resources;
Energy consumption;
Controllers;
Cost control;
Emission standards;
Optimization algorithms;
Mathematical models;
Efficiency
; Badra, Niveen M 1 ; Attia, Mahmoud A 2
; Badr, Ahmed O 2
; Omar Othman A. M. 1
; EL-Ebiary, Ahmed H 2
; Kang, Hyun-Soo 3
1 Engineering Physics and Mathematics Department, Faculty of Engineering, Ain Shams University, Cairo 11517, Egypt; [email protected] (A.S.H.); [email protected] (N.M.B.); [email protected] (O.A.M.O.)
2 Electrical Power and Machines Department, Faculty of Engineering, Ain Shams University, Cairo 11517, Egypt; [email protected] (A.O.B.); [email protected] (A.H.E.-E.)
3 School of Information and Communication Engineering, College of Electrical and Computer Engineering, Chungbuk National University, Cheongju 28644, Republic of Korea