基于先进拓扑生成算法的陆上风电场集电系统分层优化研究

The power collector system is crucial in wind farms, impacting investment costs and operational efficiency. However, the complex distribution of onshore wind turbines and the inherent randomness and uncertainty of wind power output present challenges in optimizing the topology of the power collection system. This paper introduces a novel approach to generating alternative system topologies, which includes an improved sector clustering algorithm, an extended triangulation algorithm, and a directed graph algorithm for determining power flow direction. This approach can adaptively generate wind farm alternative connection topologies under reasonable partitions and effectively improve the algorithm's robustness. Building on this, considering the constraints of wind power output volatility, line transmission capacity, and voltage, an inner-layer optimization model of the power collection system topology suitable for multiple scenarios in onshore wind farms is established. It can optimize the power collector system topology and select cables based on full life cycle costs. Then, the location factor of the outer substation was introduced, and the hierarchical optimization of the inner topology of the collector system and the outer substation was achieved through the pattern search method. The validity of the above algorithm and model is verified by a practical example. Ultimately, this work provides a comprehensive optimal topology scheme for wind turbines, cable lines, and substation locations in onshore wind farm collection systems.