This paper presents an optimization method for addressing the topology optimization problem of offshore wind farm collection systems. First, a comprehensive cost model is developed, encompassing cable investment costs, initial construction costs, and failure opportunity losses. Second, the Priority Queue Esau-Williams (EW) algorithm, previously introduced in [1], is employed to enhance the flexibility of the traditional EW algorithm and improve the convergence of total weight. The algorithm is further extended by incorporating a simple, precise, and widely applicable cross-product method for cable crossing detection, ensuring compliance with subsea cable crossing prevention constraints while maintaining the practical feasibility of cable installation. On this basis, the paper further explores topology optimization under practical engineering constraints, such as cable capacity limits and subsea cable voltage constraints. To further reduce costs, the model integrates hybrid turbine and cable selection strategies. Finally, a case study is conducted based on the actual layout of the Walney Offshore Wind Farm. The results demonstrate that the proposed optimization method effectively reduces the construction and operational costs of offshore wind farm collection systems, significantly enhancing their economic efficiency and reliability.