A power system analysis model with consideration of environmental factors

Mao, Anjia; Wen, Jing; Luo, Shasha

doi:10.1109/cris.2010.5617557

Cited by 1 publication

(2 citation statements)

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“…The definition of the resistance range is very important for verifying the performance of the monitoring system, since the neural network considers all the conductor components fixed at their nominal values, but the measurements of the frequency response change according to their real values. Therefore, the energy balance equation of transmission line is introduced [29,30]:…”

Section: Tolerance On the Conductor Electrical Parametersmentioning

confidence: 99%

See 1 more Smart Citation

Neural Network-Based Fault Diagnosis of Joints in High Voltage Electrical Lines

Bindi¹,

Aizenberg²,

Belardi³

et al. 2020

Adv. sci. technol. eng. syst. j.

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In this paper a classification system based on a complex-valued neural network is used to evaluate the health state of joints in high voltage overhead transmission lines. The aim of this method is to prevent breakages on the joints through the frequency response measurements obtained at the initial point of the network. The specific advantage of this kind of measure is to be non-intrusive and therefore safer than other approaches, also considering the high voltage nature of the lines. A feedforward multi-layer neural network with multi-valued neurons is used to achieve the goal. The results obtained for power lines characterized by three and four junction regions show that the system is able to identify the health state of each joint, with an accuracy level greater than 90%.

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Section: Tolerance On the Conductor Electrical Parametersmentioning

confidence: 99%

“…It is necessary to observe that this is the value of the DC resistance considered equal to the resistance value at 50 Hz. The characteristics of the conductor material are extracted from [29] and reported in Table 2.…”

Section: Tolerance On the Conductor Electrical Parametersmentioning

confidence: 99%