Comparative Study of Different Approaches for Islanding Detection of Distributed Generation Systems

Abstract

The issue of unintentional islanding in grid interconnection still remains a challenge in grid-connected, Distributed Generation System (DGS). This study discusses the general overview of popular islanding detection methods. Because of the various Distributed Generation (DG) types, their sizes connected to the distribution networks, and, due to the concern associated with out-of-phase reclosing, anti-islanding continues to be an issue, where no clear solution exists. The passive islanding detection technique is the simplest method to detect the islanding condition which compares the existing parameters of the system having some threshold values. This study first presents an auto-ground approach, which is based on the application of three-phase, short-circuit to the islanded distribution system just to reclose and re-energize the system. After that, the data mining-decision tree algorithm is implemented on a typical distribution system with multiple DGs. The results from both of the techniques have been accomplished and verified by determining the Non-Detection Zone (NDZ), which satisfies the IEEE standards of 2 s execution time. From the analysis, it is concluded that the decision tree approach is effective and highly accurate to detect the islanding state in DGs. These simulations in detail compare the old and new methods, clearly highlighting the progress in the field of islanding detection.

Islanding Detection Using a Micro-Synchrophasor for Distribution Systems with Distributed Generation

“…The remote IDM based system reads the status of various circuit breakers (CBs), and serves as inputs for a central computing processor and based on the output of the islanding algorithms, islanding detection is done. Hence, remote methods were more reliable than local detection methods [32]. Methods such as power line signaling and phasor measurement unit (PMU) were some of the remote IDMs available in the literature.…”

A Novel Islanding Detection Technique for a Resilient Photovoltaic-Based Distributed Power Generation System Using a Tunable-Q Wavelet Transform and an Artificial Neural Network

“…DPG that are interconnected with the grid may be affected by islanding issue due to grid disturbances, and identifying these will be a challenging task. Islanding is a process where the grid is removed from the network, and the entire load is directed to the DPG system that is still connected [5,6]. So, it is essential to detect these islanding events and respond in time for a resilient DPG.…”

“…So, it is essential to detect these islanding events and respond in time for a resilient DPG. Otherwise, the islanding issues will pose many unavoidable problems that include, power quality, voltage stability, energy loss, and damage the power assets [6]. In some cases, due to grid or load side disturbances, the electrical lines might fall, which needs immediate reconstruction.…”

Status of Micro/Mini-Grid Systems in a Himalayan Nation: A Comprehensive Review

“…As the nature of Renewable Energy Sources (RES) is fluctuating and highly dependent on weather, the generated energy is also unpredictable, which can be addressed via the integration of storage devices or/ and by interconnecting multiple energy resources [7][8][9]. An optimized hybrid energy system is quite promising techniques on behalf of cost, power quality and reliability to provide the electricity to the area where an expansion of national utility grid system is quite complicated and expensive [10]. It can be made more efficient and costeffective by reducing the disadvantages associated with these technologies [7].…”