An Adaptive Injection-Based Protection Method for Distribution Networks Considering Impacts of High-Penetration Distributed Generation

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Authors: Shoudong Xu, Jinxin Ouyang, Zixin Li, YanBo Diao
Cited by: 2
References: 7

Abstract

Driven by the goal of sustainable energy transitions, the integration of Inverter-Interfaced Distributed Generation (IIDG) has led to a continuous decline in the accuracy of single-phase grounding fault line selection in neutral non-effectively grounded distribution networks. Protection methods based on characteristic signal injection currently struggle to balance the differentiated requirements of fault detection sensitivity and equipment safety in networks with high-penetration IIDG. To address this issue, a high-frequency equivalent circuit model of the IIDG is established. The distribution patterns of the high-frequency characteristic current (HFCC) in distribution networks under high-penetration IIDG are analyzed. Subsequently, an adaptive HFCC injection strategy is proposed, which accounts for IIDG low-voltage ride-through (LVRT) requirements, fault identification sensitivity, and equipment safety constraints. Based on the amplitude and phase differences in the HFCC between faulty and healthy feeders, a fault line selection criterion is established. Consequently, an adaptive injection-based protection method for single-phase grounding fault is developed, considering the impact of high-penetration IIDG. Simulation results demonstrate that the proposed method accurately identifies the faulty feeder under various fault locations, transition resistances, and quantities of integrated IIDG units. The results further confirm the high adaptability and reliability of the method, thereby providing a robust technical foundation for the safe, reliable, and sustainable operation of modern power grids.

Fields of Study & Subjects

Power Systems Fault Detection Islanding Detection in Power Systems HVDC Systems and Fault Protection

Publication details

Journal / source
Sustainability
Publisher
MDPI AG
Volume
18
Issue
6
Pages
2863–2863
Publication date
14 March 2026
Language
EN