风电场集电网络等值模型结构分析及参数辨识

风电场集电网络等值建模的难点在于如何获得结构简单、普适性强且精度较高的模型结构。针对该问题，首先采用REI等值方法构建了集电网络等值模型结构。其次针对该REI等值模型存在结构复杂、参数较多且难以辨识的缺点，基于理论分析提出了集电网络简化等值模型的构建方法，并通过时域仿真验证了所提风电场集电网络等值模型的可行性。最后以某实际风电场为例，采用粒子群优化算法对集电网络等值模型进行了参数辨识。进一步将参数辨识值与解析值进行了对比，结果表明所提风电场集电网络等值模型有较好的精度和适应性。

Equivalent model structural analysis and parameter identification of wind farm collector network

The difficulty of equivalent modeling of wind farm collector network lies in how to obtain a model structure with simple structure, strong universality and high precision. Firstly, the REI equivalent method is introduced to construct the equivalent model structure of collector network. Secondly, to overcome the shortcomings of complex structure, many parameters and difficult in identification of REI equivalent model, a more simplified equivalent modeling method is proposed based on theoretical derivation, and the feasibility of the proposed wind farm collector network equivalent modeling is validated by time simulation. Finally, taking a real wind farm as an example, the parameter identification of the collector network equivalent model is obtained by particle swarm optimization algorithm. The parameter identification values are compared with the analytical results, and the results show that the proposed wind farm collector network equivalent model has better accuracy and adaptability.