Determining the Contribution of Harmonic Loads to Harmonic Contamination of the Power Network based on the Intelligent Classification of Measured Data

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TADAYON MEHDI; Hooshmand Rahmatallah; kiyoumarsi Arash; Torabian Mehdi

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Journal: COMPUTATIONAL INTELLIGENCE IN ELECTRICAL ENGINEERING (INTELLIGENT SYSTEMS IN ELECTRICAL ENGINEERING) Year:2019 | Volume:10 | Issue:3 Page(s): 41-56

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Title

Determining the Contribution of Harmonic Loads to Harmonic Contamination of the Power Network based on the Intelligent Classification of Measured Data

Author(s)

TADAYON MEHDI | Hooshmand Rahmatallah | kiyoumarsi Arash | Torabian Mehdi | Issue Writer Certificate

Keywords

Intelligent Data ClassificationQ1

Harmonic ContributionQ2

Harmonic SourcesQ1

Background HarmonicQ1

Abstract

Nowadays, determining the contribution of the individual consumers to the harmonic contamination is required for improving power quality. Due to changes occurred in lines, transformers, loads and generators over time, network operating conditions and impedance of different sectors are frequently varied resulting in the change in the contribution of Harmonic Sources. In this paper, an intelligent-based three-step method is developed to continuously determine the contribution of each harmonic source to the harmonic voltage of different buses without any access to the voltage phase data at different buses in the network. In this algorithm, firstly, the K-means clustering method is used for pre-processing of the measured data in order to reduce the Background Harmonic destructive effect on accuracy of the Harmonic Contribution determination. After calculating the Harmonic Contribution, the K-nearest neighbor method is used to generalize the results, and subsequently to create a continuous Harmonic Contribution matrix (HCM). Finally, the method is applied to a standard power network-based calculation example. The results demonstrate the capability of the proposed algorithm to evaluate the effects of Harmonic Sources in power networks.

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APA: Copy

TADAYON, MEHDI, Hooshmand, Rahmatallah, kiyoumarsi, Arash, & Torabian, Mehdi. (2019). Determining the Contribution of Harmonic Loads to Harmonic Contamination of the Power Network based on the Intelligent Classification of Measured Data. COMPUTATIONAL INTELLIGENCE IN ELECTRICAL ENGINEERING (INTELLIGENT SYSTEMS IN ELECTRICAL ENGINEERING), 10(3 ), 41-56. SID. https://sid.ir/paper/203138/en

Vancouver: Copy

TADAYON MEHDI, Hooshmand Rahmatallah, kiyoumarsi Arash, Torabian Mehdi. Determining the Contribution of Harmonic Loads to Harmonic Contamination of the Power Network based on the Intelligent Classification of Measured Data. COMPUTATIONAL INTELLIGENCE IN ELECTRICAL ENGINEERING (INTELLIGENT SYSTEMS IN ELECTRICAL ENGINEERING)[Internet]. 2019;10(3 ):41-56. Available from: https://sid.ir/paper/203138/en

IEEE: Copy

MEHDI TADAYON, Rahmatallah Hooshmand, Arash kiyoumarsi, and Mehdi Torabian, “Determining the Contribution of Harmonic Loads to Harmonic Contamination of the Power Network based on the Intelligent Classification of Measured Data,” COMPUTATIONAL INTELLIGENCE IN ELECTRICAL ENGINEERING (INTELLIGENT SYSTEMS IN ELECTRICAL ENGINEERING), vol. 10, no. 3 , pp. 41–56, 2019, [Online]. Available: https://sid.ir/paper/203138/en

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