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A two-step state estimator with a suitable set of pseudo-measurements for precise fault location in distribution systems

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Author(s):
Cavalcante, Paulo A. H. ; Dardengo, Victor P. ; Fernandes, Thiago R. ; Cunha, Vinicius C. ; Monaro, Renato M. ; de Almeida, Madson C.
Total Authors: 6
Document type: Journal article
Source: Electric Power Systems Research; v. 236, p. 12-pg., 2024-08-13.
Abstract

Temporary and sustained faults in distribution systems can significantly deteriorate the quality of the power supply. With the advancement of distribution system monitoring technologies, utilities have the opportunity to adopt fault location techniques to reduce power restoration times, thereby improving the quality of the power supply. This paper presents an innovative two-step state estimator, incorporating a suitable set of pseudo-measurements, which serves as the main core of a fault location method for distribution systems. The proposed state estimator captures the variations in branch currents and bus terminal voltages caused by faults. From these estimates, the fault location can be determined using a two-terminal fault location approach adapted to distribution systems. A properly designed set of pseudo-measurements enables the application of the state estimator to obtain the fault location even when the system is not entirely observable. Since the specific branch under fault is initially unknown, similar to other methods relying on state estimation, power flow, and short circuit principles, a fault position is computed for each network branch. Subsequently, a novel selection criterion identifies the exact branch under fault and, consequently, pinpoints the precise fault location. This criterion enhances the method's resilience against errors in measurements and network parameters. The performance of the proposed fault location method is assessed considering the location, type, and resistance of faults, along with the presence of distributed generators. Case studies regarding the number, position, and types of measurements are also presented. Statistical simulations conducted to evaluate the influence of errors in measurements and network parameters indicate that the proposed method is robust. A comparative study shows that the proposed method can outperform promising approaches available in the literature. (AU)

FAPESP's process: 21/11380-5 - CPTEn - São Paulo Center for the Study of Energy Transition
Grantee:Luiz Carlos Pereira da Silva
Support Opportunities: Research Grants - Science Centers for Development
FAPESP's process: 20/15230-5 - Research Centre for Greenhouse Gas Innovation - RCG2I
Grantee:Julio Romano Meneghini
Support Opportunities: Research Grants - Research Centers in Engineering Program