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Line Loss Calculation in Power Distribution Network Based on Power Measurement Data and BP Neural Network

机译:基于功率测量数据和BP神经网络的配电网线损计算

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The line loss in power distribution network is an important index that affects the economic benefit of power supply enterprise. In order to ensure the accuracy and stability of the line loss calculation based on large amount of power measurement data, the distributed parallel processing method is applied to the line loss computing service, and the line loss calculation model in power distribution network was obtained by the fitting of BP neural network. Furthermore, many examples are given to test the algorithm proposed in this paper, the results show that the method can guarantee the stability and the accuracy of calculation results in line loss calculation.
机译:配电网的线损是影响供电企业经济效益的重要指标。为了确保基于大量电量测量数据的线损计算的准确性和稳定性,将分布式并行处理方法应用于线损计算服务,并通过以下方法获得配电网中的线损计算模型: BP神经网络的拟合。并通过大量实例对本文提出的算法进行了测试,结果表明该方法可以保证线损计算中计算结果的稳定性和准确性。

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