Data-Driven Fault Localization in Distribution Systems with Distributed Energy Resources

Abstract

The integration of Distributed Energy Resources (DERs) introduces a non-conventional two-way power flow which cannot be captured well by traditional model-based techniques. This brings an unprecedented challenge in terms of the accurate localization of faults and proper actions of the protection system. In this paper, we propose a data-driven fault localization strategy based on multi-level system regionalization and the quantification of fault detection results in all subsystems/subregions. This strategy relies on the tree segmentation criterion to divide the entire system under study into several subregions, and then combines Support Vector Data Description (SVDD) and Kernel Density Estimation (KDE) to find the confidence level of fault detection in each subregion in terms of their corresponding p-values. By comparing the p-values, one can accurately localize the faults. Experiments demonstrate that the proposed data-driven fault localization can greatly improve the accuracy of fault localization for distribution systems with high DER penetration.

Multi‐agent based protection scheme using current‐only directional overcurrent relays for looped/meshed distribution systems

“…By substituting the Equations ( 6) and (8) in Equation ( 9), the result of DD for reverse fault condition is obtained as…”

“…Then the reduced data are used to train ANN and SVM for fault detection and classification. In [8], a data-driven strategy has been proposed to detect faults and identify their locations based on the multi-level governance regionalization and quantification of the fault detection results in the distribution systems with distributed energy resource (DER). In this strategy, a general criterion has been presented to divide the distribution systems into several subregions based on the division of the network tree to help the hierarchical search for the location of faults.…”

One-Class Classifier Based Fault Detection in Distribution Systems With Varying Penetration Levels of Distributed Energy Resources

“…Traditional current levels and characteristics are greatly affected by the increasing DER penetration into distribution systems. One main aspect is the introduced two-way current flow which results in higher complexity in system modeling and brings challenges for the conventional protection scheme implementations [27]- [29]. For example, in paper [27], the authors illustrated the difficulty of modeling a system with DER integration using a traditional relay protection model.…”

“…The detailed data structure can refer to Fig. 7 in [27]. Since there are 115 lines in the system, the line-to-ground fault at each line is considered as a type of fault.…”

An Early Warning Method of Distribution System Fault Risk Based on Data Mining

“…Since the causal relationship is nonlinear, the conventional fault prediction method based on the electrical mechanism is challenging to function. erefore, exploring the potential risks in the distribution system operation process and furtherly taking corresponding measures have become a severe challenge to power supply companies [6,7]. e concept of distribution system fault risk is put forward in [8], and the fault probability index system and fault consequence index system are established, respectively, from two dimensions of possibility and severity.…”