Maiden application of mountaineering team-based optimization algorithm optimized 1PD-PI controller for load frequency...

Area of Science:

• Electrical Engineering
• Control Systems
• Renewable Energy Integration

Background:

• Islanded Microgrids (IMGs) heavily utilize Renewable Energy Sources (RES), necessitating robust Load Frequency Control (LFC) for stability.
• Existing LFC methods face challenges with the dynamic nature of RES integration.

Purpose of the Study:

• To introduce and evaluate a novel 1PD-PI controller for LFC in RES-based IMGs.
• To develop and apply the Mountaineering Team Based Optimization (MTBO) algorithm for optimizing controller gains.
• To demonstrate the superiority of the proposed 1PD-PI/MTBO scheme over other optimization techniques.

Main Methods:

• Developed a 1PD-PI controller by combining 1PD and PI control strategies.
• Introduced the novel MTBO meta-heuristic algorithm for optimizing controller parameters.
• Simulated a diverse IMG including DEGs, MTs, FCs, ESSs, WTGs, and PVs in MATLAB/SIMULINK.
• Utilized Integral Time Multiplied by the Squared Error (ITSE) and Integral of Time Multiplied By Absolute Error (ITAE) as performance metrics.
• Formulated a weighted composite objective function incorporating ITSE, ITAE, overshoot, and settling time.
• Compared the 1PD-PI/MTBO scheme against 1PD-PI/PSO and 1PD-PI/WOA under various conditions.

Main Results:

• The 1PD-PI/MTBO controller demonstrated superior performance compared to PSO and WOA optimized controllers.
• Achieved minimized settling time, reduced peak overshoot and undershoot, and improved error-integrating characteristics.
• The proposed scheme showed enhanced robustness against parametric uncertainties and nonlinearities.
• Significant improvements were observed in objective function values and transient responses.

Conclusions:

• The 1PD-PI/MTBO control scheme is a practical and effective solution for LFC in RES-based IMGs.
• The MTBO algorithm offers significant advantages for optimizing LFC controllers in microgrids.
• The findings provide valuable insights for managing frequency deviations in complex microgrid systems.