Optimization of ICCP Anode Configuration Based on Multi Objective Genetic Algorithm

In the cathodic protection system, the distance between the anode and the structure is small, the resistivity of the environmental medium is high, and the protection current is high, which may result in uneven distribution of the potential on the structure. Aiming at this problem, based on the anti-corrosion design of long-distance pipeline with impressed current cathodic protection, an optimization model of anode position and anode output current is proposed to reduce the corrosion rate of long-distance pipeline and achieve cathodic protection. The boundary element method (BEM) is used to study the parameter optimization problem of the system based on the multi-objective genetic algorithm of cathodic protection potential distribution model. Then, through the COMSOL Mulitiphysics simulation software combined with genetic algorithm to optimize the anode position and current density, a cathodic protection optimization model that meets the cathodic protection requirements and has a uniform distribution is established. The feasibility of the model and the adaptability of the genetic algorithm in the optimization of anode configuration are verified by comparison with the measured data on site.