To address the low accuracy in electric field calculation for complex three-dimensional transmission lines and the multi-objective cooperative optimization of cable hanging points, an improved fusion model is proposed. This model integrates an enhanced sparrow search algorithm with the charge simulation method to optimize the position and magnitude of simulation charges through a dynamic chaotic mapping mechanism and a nonuniform segmented charge strategy. These improvements mitigate the high-curvature boundary errors associated with empirical charge setting in traditional methods. Experimental results demonstrated that after 500 iterations, the proposed algorithm achieved an average potential error of only 0.15225% at checkpoints, with most errors remaining below 0.5% and terminal errors not exceeding 3%. For multi-objective suspension point selection, a weighted comprehensive scoring method is used instead of traditional Pareto optimization or fuzzy membership functions to integrate constraints such as electric field strength, mechanical stability, leakage current, and anti-interference ability. This method offers superior engineering practicality and computational efficiency for decision-making under multiple constraints. The candidate hanging point M exhibits an electric field strength of 15.2 kV/m and a leakage current of 0.8 mA, which met safety standards and improved overall performance by 37.6%. The proposed model provides reliable technical support for smart grid transmission line planning and optical cable deployment, with potential applications in multi-physical field coupling and ultra-high-voltage direct current scenarios.
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