<p>Radial topology dominates wind farm (WF) collector system designs for its prominent economic efficiency, which could, on the other hand, sacrifice the reliability to some extent for its feature of non-backup cable routing. Moreover, as deterministic algorithms derived from graph theory are often utilized in radial WF collector system design, a lack of freedom in topology adjustment further hinders the reliability reinforcement. Therefore, this article proposes an integrated heuristic-deterministic topology optimization method for WF collector system to solve this problem. Specifically, the genetic algorithm (GA) is deeply integrated to the deterministic self-tracking minimum spanning tree (STMST) algorithm developed from the classical Prim’s MST, which enables rearrangements in both cabling design and the substation’s micro-siting while still following Prim’s theory to ensure a feasible radial structure. During the GA iterations, the self-tracking (ST) algorithm is also applied to record every branch’s connecting information so that the expected energy not supplied (EENS) caused by cable failures can be accurately estimated for reliability enhancement. Moreover, as the research is set on a 3D terrain, Dijkstra algorithm is utilized to complete the optimization in a form of 3D topology for practicability. The proposed optimization is tested on a benchmark WF with 50 wind turbines (WT), and the test results verify the necessity and effectiveness of the proposed approach.</p>