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Machine Learning Theory and Practice, 2020, 1(4); doi: 10.38007/ML.2020.010402.

Harmonic Measurement Method Based on Artificial Neural Network

Author(s)

Shenglan Li

Corresponding Author:
Shenglan Li
Affiliation(s)

Liaoning Metallurgical Vocational and Technical College, Liaoning, China

Abstract

With the development of industry 4.0, new energy generation, electric vehicles and high-speed railways, the harmonic pollution problem of power grid has become more and more serious. The comprehensive treatment, responsibility division and cause analysis of power grid harmonics have become extremely urgent. This paper mainly studies a kind of artificial harmonic measurement method. In this paper, linear neural network is introduced into harmonic detection of power system because of its simple structure and small computation. A method based on the approximation of the 5, 7, 11 and 13 harmonics of CVT and neural network is studied to predict the transfer coefficients of each harmonics of CVT in the field. Simulation results show that the detection effect of the proposed method is superior.

Keywords

Neural Network, Harmonic Measurement, Capacitive Voltage Transformer, Simulation Experiment

Cite This Paper

Shenglan Li. Harmonic Measurement Method Based on Artificial Neural Network. Machine Learning Theory and Practice (2020), Vol. 1, Issue 4: 9-16. https://doi.org/10.38007/ML.2020.010402.

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