基于遗传算法的风电场等值模型的研究

Study on equivalent model of wind farms based on genetic algorithm

在分析笼型异步风力发电机组动态模型的基础上,利用含笼型异步风力发电机组的风电场详细模型的运行数据,提出了基于遗传算法的风电场单机等值建模方法和参数优化模型。针对风电场内机组参数完全相同和不同的两种算例,对风速扰动和风电场出口处发生三相短路故障下的风电场动、暂态运行特性进行仿真,并与风电场详细模型和容量加权单机等值模型时的结果进行比较。结果表明基于遗传算法的单机等值模型具有和详细模型一致的风电场运行特性;与风电场容量加权单机等值模型相比,能更好地表现风电场的动、暂态运行特性。

Based on the analysis of dynamic mathematic models of a wind turbine system with a squirrel cage induction generator（SCIG）,an equivalent modeling method and parameters optimization model of a wind farm are proposed based on an improved genetic algorithm（IGA）by using the operational data of a SCIG wind farm with the detailed models.Regarding the two cases of a wind farm including SCIGs with identical parameters and SCIGs with different parameters,the dynamic and transient performances characteristics under the wind speed disturbance and the three-phase short circuit fault at the exit of wind farm are simulated and analyzed.The results are also compared with those by using the detailed model and the capacity weighted equivalent model of the SCIG wind farm.The results show that the proposed wind farm equivalent model has the same wind farm operation characteristics with the detailed model,and it has better representation of the dynamic and transient performances of the wind farms compared with the weighted equivalent model.