Optimization model of heliostatic field based on simulated annealing algorithm

This paper introduces a modified simulated annealing algorithm to study the solar helioscope field optimization problem. The algorithm combines adaptive adjustment, multi-start, and local search techniques to maximize system energy efficiency. Through flexible tuning of parameters and multiple runs, the optimal solution is found to maximize the output power. Research not only guides the development of solar collection technology, but also provides methods for evaluating the performance evaluation of solar systems in different environments. In addition, methods and models can be extended to renewable energy and photovoltaic technologies, to support broader sustainable energy research.