A high-speed MPPT based horse herd optimization algorithm with dynamic linear active disturbance rejection control...

Area of Science:

• Renewable Energy Systems
• Control Theory
• Optimization Algorithms

Background:

• Photovoltaic (PV) systems require efficient Maximum Power Point Tracking (MPPT) under dynamic and static environmental conditions (DSEC).
• Traditional methods like Perturb & Observe (P&O) and existing metaheuristic algorithms struggle with fluctuating conditions and convergence speed.
• The need for robust control strategies to handle system uncertainties and disturbances in PV MPPT is critical.

Purpose of the Study:

• To propose and evaluate an innovative HHOA-LADRC method for optimizing maximum power extraction in PV systems.
• To enhance the anti-interference capacity and response rate of MPPT techniques.
• To demonstrate the superiority of the proposed method over traditional and other metaheuristic algorithms.

Main Methods:

• Application of the Horse Herd Optimization Algorithm (HHOA), a bio-inspired technique, for optimizing power extraction.
• Integration of Linear Active Disturbance Rejection Control (LADRC) to regulate the HHOA's reference voltage output.
• Comparative simulation analysis against P&O, CPSO, GHO, and DPSO algorithms under DSEC.
• Experimental validation using a NI PXIE-1071 Hardware-In-Loop (HIL) prototype.

Main Results:

• The HHOA-LADRC method successfully tracks the global maximum peak (GMP) with reduced power fluctuations and faster convergence.
• Simulation results show significant improvements compared to conventional and other metaheuristic MPPT techniques.
• Experimental investigation confirms the HHOA-LADRC effectiveness, achieving over 99% efficiency with quicker convergence and minimal oscillations.

Conclusions:

• The proposed HHOA-LADRC approach offers a highly effective and efficient solution for PV maximum power point tracking.
• This hybrid control strategy significantly enhances system performance under dynamic and static environmental conditions.
• The method demonstrates robust anti-interference capabilities and rapid response, making it suitable for real-world PV applications.