Statistical Sampling for Power-Quality Monitoring in Modern Power-Supply Systems

Kulikov, Aleksandr; Ilyushin, Pavel; Sevostyanov, A. A.

doi:10.3103/s1068371222040071

Cited by 2 publications

(2 citation statements)

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“…Statistical analysis [39]; • Logistic regression [40]; • Principal component analysis [41]; • K-nearest neighbors method [42]; • Wald's sequential analysis [43];…”

mentioning

confidence: 99%

“…In this context, the implementation of methods for PQI control based on machine learning [33][34][35][36][37][38][40][41][42] is difficult due to the complex process of simulation modeling of the power supply system of an industrial consumer. Statistical methods [39,43] show great promise. These methods are very attractive due to the lack of computational complexity (a small number of processing operations) and are capable of providing correct decision-making under the influence of random factors.…”

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confidence: 99%

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Estimation of an Extent of Sinusoidal Voltage Waveform Distortion Using Parametric and Nonparametric Multiple-Hypothesis Sequential Testing in Devices for Automatic Control of Power Quality Indices

Kulikov,

Ilyushin,

Sevostyanov

et al. 2024

Energies

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Deviations of power quality indices (PQI) from standard values in power supply systems of industrial consumers lead to defective products, complete shutdown of production processes, and significant damage. At the same time, the PQI requirements vary depending on the industrial consumer, which is due to different kinds, types, and composition of essential electrical loads. To ensure their reliable operation, it is crucial to introduce automatic PQI control devices, which evaluate the extent of distortion of the sinusoidal voltage waveform of a three-phase system. This allows the power dispatchers of grid companies and industrial enterprises to quickly make decisions on the measures to be taken in external and internal power supply networks to ensure that the PQI values are within the acceptable range. This paper proposes the use of an integrated indicator to assess the extent of distortion of the sinusoidal voltage waveform in a three-phase system. This indicator is based on the use of the magnitude of the ratio of complex amplitudes of the forward and reverse rotation of the space vector. In the study discussed, block diagrams of algorithms and flowcharts of automatic PQI control devices are developed, which implement parametric and nonparametric multiple-hypothesis sequential analysis using an integrated indicator. In this case, Palmer’s algorithm and the nearest neighbor method are used. The calculations demonstrate that the developed algorithms have high speed and high performance in detecting deviations of the electrical power quality.

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“…Statistical analysis [39]; • Logistic regression [40]; • Principal component analysis [41]; • K-nearest neighbors method [42]; • Wald's sequential analysis [43];…”

mentioning

confidence: 99%