Optimizing Distribution Line Patrol Paths Considering Equipment Complexity and Operational Risk Probability

The distribution network functions as a critical infrastructure that bridges the power system and end-users, with its operational status exerting a direct influence on the reliability of power supply. Given the extensive array and diversity of equipment within the medium-voltage distribution network, coupled with the intricate operating environment and the multitude of adverse factors it encounters, the task of conducting routine inspections poses significant challenges for power supply departments. To enhance the efficiency of inspection personnel and the quality of line inspections, a sequential membrane computing strategy is proposed. This strategy aims to refine the original cross-cutting algorithm and the particle swarm optimization algorithm, culminating in the development of the sequential membrane computing particle swarm optimization algorithm (PPCSO). This novel algorithm is employed to address the distribution network inspection path problem, taking into account the complexity of distribution equipment maintenance and the probability of operational risks. Through a comparative analysis of the optimization results for the optimal path across different algorithms, it is demonstrated that the improved algorithm effectively resolves the optimization problem of distribution network inspection paths.