Simulation of a Novel Wide-area Source-load Interaction Scheduling Model for Power Systems Based on Improved Genetic Algorithm

The traditional genetic algorithm in path planning has slow convergence speed, easy to premature and poor path quality. An improved genetic algorithm for path planning is proposed to improve both the crossover operator and the variation operator of the algorithm, and the heuristic crossover operator with adaptive strategy adjusted variation operator is designed to obtain the optimal solution. Path planning algorithm based on viewable view with improved genetic algorithm. The objective function of effectiveness is constructed and the optimal scheduling model of electronic warfare resources is established, and then the optimal scheduling plan of resources using the improved genetic algorithm model is utilized. The coordinates of the main point of the image are closer to the reference value, which can better alleviate the phenomenon of premature convergence and stagnation and improve the calibration accuracy.