Research and Application of Optimization Model Based on Hybrid Strategy Improved Grey Wolf Algorithm

In this paper, based on the geometric relationship and the principle of light reflection, the annual average output thermal power of the heliostat mirror field and the annual average output thermal power per unit mirror area are derived using the vector and cosine formulas to find the cosine efficiency. In solving the optimization design problem of the heliostat mirror field, based on the Hybrid Strategy Improved Grey Wolf algorithm proposed in this paper, the optimization model of the heliostat mirror field is established in the spatial coordinate system of the heliostat mirror field. And the model was analyzed. The incident light vector is expressed through the solar altitude angle, the reflected light vector is expressed through the position coordinates, and the collector truncation efficiency is calculated by finding the cosine efficiency based on the light vector relationship. The truncation efficiency is calculated by analyzing the effective area of the conical light illuminating the collector, and the optimization problem is solved using an evolutionary algorithm.