Comparative Study of Dingo Optimization Algorithm and Other Biological Heuristic Algorithms in Power System Optimization

Aiming at the power system optimization problem, this paper compares the dingo optimization algorithm with biological heuristic algorithms. First, the definition and importance of power system optimization and the application and limitations of biological heuristic algorithms in the domain are introduced. Second, this paper expounds on the characteristics and advantages of the dingo optimization algorithm. In the research foundation and critical technology, the principle, steps, parameter setting, and performance evaluation of the dingo optimization algorithm are explained and made in comparison with other biological heuristic algorithms. Then, for the power system optimization problem, we propose the power system economic dispatch model, reactive power optimization model, fault diagnosis model, and planning and design model. Finally, the main contents of the research are summarized, and the potential practice of the dingo optimization algorithm in power system optimization is emphasized. Experiments and simulations demonstrate the effectiveness of the algorithm.