基于模糊神经网络的风电场无功补偿容量研究
Research on reactive power compensation capacity based on fuzzy neural network for wind power station
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摘要: 以某一风电场为研究对象,提出基于模糊神经网络的风电场无功补偿容量计算方法.以该风电场的有功功率为输入,通过潮流计算得到使风电场母线电压稳定所需的无功补偿容量.计算结果表明,该方法能够准确计算风电场所需无功补偿容量,简化了风电场无功补偿容量计算过程.Abstract: With a wind power station as the research object,a computing method of reactive power compensation capacity was presented based on fuzzy neural network for wind power,which takes the active power of the wind power station as input, calculates the reactive power compensation capacity through power flow calculation to stabilize the bus voltage for wind power station. The calculation results showed that this method could accurately calculate the reactive power compensation capacity for wind power station, simplified calculation process of wind power reactive power compensation capacity.
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