High impedance fault modeling and location for transmission line✰

Doria-García, Jose; Orozco-Henao, C.; Leborgne, Roberto Chouhy; Montoya, Oscar Danilo; Gil-González, Walter

doi:10.1016/j.epsr.2021.107202

Cited by 17 publications

(6 citation statements)

References 23 publications

(37 reference statements)

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“…The authors in [3] carried out the detection of HIF by utilizing the following; 3-phase current signal at the feeder, carried out design of HIF detector to monitor the third and sixth harmonics in the feeder, leading to HIF identification of 80% but at current signal of 20A (the model was termed unreliable when the current signal was more than 20A). [7] generated zero sequence current signal for the detection of HIF in a faulty line and healthy line and had 70% and 48% HIF detection and location accuracy on carrying out the simulation in PSCAD. In [8], the authors determined the HIF detection and classification by juxtaposing the voltage signal half cycle with moving window technique on the transmission line and had 45% accuracy.…”

Section: Review Of Related Literaturementioning

confidence: 99%

“…This paper delved into the detection and point location of the occurrence of HIF using ANFIS model. Point location in this context according to [7], implies the division of the line distance into specific points and determination of the current signals at each points. The power system network data of the south-south 330kV transmission line is obtained from the national control center (NCC) Oshogbo and modeled in MatLab/SIMULINK.…”

Section: Introductionmentioning

confidence: 99%

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High Impedance Fault Detection and Location in the Nigerian 330 kV Transmission Network Using Adaptive Neuro-Fuzzy Inference System

Oduleye,

Nkan,

Okpo

2023

IJMRA

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Fundamentally, the occurrence of high impedance fault (HIF) can be established when an energy filled conductor contacts a semiconductor. The occurrence of HIF can be described to be subtle and disastrous as it results to low current signal and a signal voltage arc if undetected and without implementation of protective measures, leads to the damage of the power system equipment and in many cases fire outbreak. In this study, the occurrence of HIF on the south-south region of Nigerian 330kV transmission line was studied with the data utilized obtained from the Nigerian control center (NCC) Osogbo. The data obtained was modeled in simulink and the outcome at normal condition was obtained. The transmission line distance was split into 4 points with the current signal at each point generated in simulink and exported to the Matlab file. The data in Matlab file was split to train, test and validate at 70%, 15% and 15% respectively. The data analysis performed was sent to Adaptive Neuro-fuzzy inference system (ANFIS) with the current signal at normal condition and at 3-phase HIF was used as input data while the split distance was implemented as the target data to the model. The effectiveness of the model in detecting and locating HIF was obtained and analyzed in a comparative plot of the location distance. From the results presented, the highest error deviation for fault location with ANFIS was 10%. Hence, it was concluded that ANFIS model had a satisfactory outcome in HIF detection and as such should be utilized for the HIF detection and location.

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Section: Review Of Related Literaturementioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

High Impedance Fault Detection and Location in the Nigerian 330 kV Transmission Network Using Adaptive Neuro-Fuzzy Inference System

Oduleye,

Nkan,

Okpo

2023

IJMRA

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“…However, traditional fault location methods are often reliant on over-voltage and overcurrent protection devices, which have significant limitations in terms of application to wind power transmission lines. The impedance characteristics of the wind power transmission system are affected by the frequency deviation characteristics and weak-grid impacts of doubly-fed wind turbines [1][2][3], which poses challenges to traditional fault location methods that are based on power frequency. Furthermore, factors including the operational state of wind farms, transitional resistance, and type of fault all significantly impact fault location accuracy [4,5].…”

Section: Introductionmentioning

confidence: 99%

Fault distance measurement method for wind power transmission lines based on improved NSGA II

Qi,

Zhang,

Liu

et al. 2024

Eng. Res. Express

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A fault distance measurement method that is suitable for long-distance wind power transmission lines is proposed by this paper. By combining the voltage and current at both ends of the line during normal operation, a dynamic line parameter correction method based on improved NSGAⅡ is proposed to ensure measurement errors caused by parameter changes are avoided. Based on the construction of the fault distance measurement function, a global optimization method that is based on adaptive golden section search is proposed, where only the power frequency measurement data at both ends of the bus is required and synchronization is not required for the measurement of fault distance. A large number of experimental results demonstrate that the method this paper proposes is highly adaptable, with a relative distance measurement error of less than 0.2km, and high accuracy is maintained in distance measurement even with certain degrees of noise interference.

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“…Using the Gaussian Newton method, a distributed parameter transmission line model is constructed to calculate the fault distance of the transmission line, effectively achieving the localization of high impedance and low impedance faults. However, the proposed method has a significantly high and unstable packet loss rate, and its application effect needs to be improved [3] . Therefore, to solve the limitations of the above methods, this paper proposes a new transmission line monitoring method, through the design of the image acquisition monitoring unit, combined with temperature sensors to obtain the wire temperature, and the calculation of the load flow of the wire, so as to achieve effective monitoring of the transmission line [4] .…”

Section: Introductionmentioning

confidence: 99%

Research on the design of high-voltage transmission line monitoring based on self-grouping MAC access

Ma,

Jia,

Liu

et al. 2023

Third International Conference on Signal Image Processing and Communication (ICSIPC 2023)

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The current conventional high-voltage transmission line monitoring method mainly obtains line parameters through fiber optic sensing equipment, and analyzes the parameters to grasp the actual load situation of the line, which leads to poor monitoring effect due to the lack of design of load flow threshold. In this regard, a monitoring method for high-voltage transmission lines based on self-assembled MAC access is proposed. By constructing the reward function, the routing monitoring algorithm is designed and the image monitoring module structure is designed. Combined with the heat balance equation, the line load flow value is calculated and the judgment of the line load condition is realized by setting the flow threshold. In the experiments, the monitoring performance of the proposed method is verified. The experimental results show that when the proposed method is used for transmission line monitoring, the system data loss rate is low and has a more desirable monitoring effect.

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High impedance fault modeling and location for transmission line✰

Cited by 17 publications

References 23 publications

High Impedance Fault Detection and Location in the Nigerian 330 kV Transmission Network Using Adaptive Neuro-Fuzzy Inference System

High Impedance Fault Detection and Location in the Nigerian 330 kV Transmission Network Using Adaptive Neuro-Fuzzy Inference System

Fault distance measurement method for wind power transmission lines based on improved NSGA II

Research on the design of high-voltage transmission line monitoring based on self-grouping MAC access

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