Solar Power Boost: A New Horse Herd Algorithm for Faster Charging

Imagine you're managing a herd of horses to optimize their movements for maximum efficiency. That's the idea behind the Horse Herd Optimization Algorithm (HHOA) designed to boost power extraction from solar panels. This method, inspired by horse herd behaviors, works great under both changing and stable weather conditions. The kicker? It's paired with Linear Active Disturbance Rejection Control (LADRC) to handle any uncertainties and speed up the response.

Traditional methods like Perturb & Observe (P&O) and other algorithms like Particle Swarm Optimization (PSO) and Grasshopper Optimization (GHO) have been around, but they can't match the HHOA-LADRC combo's quick convergence and lower fluctuations. It's like having a super smart horse herder who can quickly adapt and keep the herd moving in the right direction. To test this out, researchers used the NI PXIE-1071 Hardware-In-Loop (HIL) prototype. The results? The HHOA-LADRC was over 99% effective, converged faster, and had fewer power fluctuations. It's like having a herd of solar panels that can quickly find the best position to soak up the sun's energy.

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