Distribution Network Fault Location Based on Fault Overcurrent Transformed into a Nonlinear Global Optimization Problem

The Ant Colony Algorithm is a probabilistic algorithm designed for finding optimal paths in graphs. It represents a novel general-purpose heuristic approach for solving combinatorial optimization problems, featuring positive feedback mechanisms, distributed computing capabilities, and constructive greedy heuristic search properties. By establishing an appropriate mathematical model, distribution network fault location based on fault overcurrent can be reformulated as a nonlinear global optimization problem. Implementation typically involves defining pheromone matrices, path selection probabilities, and evaporation mechanisms to simulate ant foraging behavior.