Conventional Method for Electrical Transmission System Fault Location Detection

Ngwenyama, M. K.; Roux, Paul; Ngoma, J. L.

doi:10.1109/acpee51499.2021.9437010

Cited by 6 publications

(3 citation statements)

References 21 publications

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“…As an outcome, it is evident that the proposed algorithm provides more precision. In the present work, an expansion of preceding work [1] introduced a novel algorithm for estimating faults on transmission lines. Extensive trials on a simulated transmission line led to the conclusion of this work.…”

Section: Results Comparisonmentioning

confidence: 99%

“…This paper is an extension of work originally presented at the 2021 6th Asia Conference on Power and Electrical Engineering (ACPEE) [1]. The transmission network has been considered among the globe's prevalent complex systems, comprised of hundreds of electrical transmissions such as the addition of wind turbines and solar energy.…”

Section: Introductionmentioning

confidence: 99%

“…In the present work, an expansion of preceding work [1], a novel algorithm for estimating faults on transmission networks is presented. Impedance-based techniques are susceptible to producing errors or incorrect predictions.…”

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

A Novel Algorithm Design for Locating Fault Distances on HV Transmission Lines

Ngwenyama¹,

Roux²,

Ngoma³

2022

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

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The transmission network has been considered among the globe's prevalent complex systems, comprised of hundreds of electrical transmission lines and other equipment used to transmit electrical energy from one location to another. Over a decade, power engineers have worked tirelessly to ensure that the transmission network operates reliably, transmitting electrical energy from the power station to the consumers without interruption. With growing generation capacity and the recent introduction of renewable energy systems (RES) such as wind turbines and solar energy, the transmission lines are increasingly being forced to run near their design limitations and greater unpredictability on the network operational configuration. As a result, the transmission network faces greater challenges than previously. As a worst-case scenario, large-scale electrical network power outages caused by electrical faults can disrupt electricity availability for several hours, impacting millions of customers and inflicting massive economic damage. These electrical faults must be repaired before electricity is restored to consumers. This necessitates a thorough grasp of the challenge and potential remedies to assure improved power efficiency. In the present work, an expansion of preceding work, a novel algorithm for estimating faults on transmission lines is presented. Impedance-based techniques are susceptible to producing errors or incorrect predictions. The presence of faults induced from high impedance sources produces an extra impedance to the ground, which negates the impedance calculation and produces errors in the distance to the fault. This results in inaccuracies that can affect a distance-to-fault estimation by 1-15 % of the overall line length. In this work, a design of a fault detection-location element (FDLE) algorithm is proposed. This algorithm relies on the dynamics of current and voltage signals on the transmission line while deserting impedance. Comparison research is undertaken against the impedancebased techniques to validate the proposed algorithm. Finally, the proposed algorithm findings are compared to fault location estimations using an impedance-based technique. Extensive trials on a simulated transmission line prove that the proposed algorithm is responsive to faults with an error as low as 1%, reaching a precision of 98.9%.

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Section: Results Comparisonmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%