scholarly journals Islanding Detection Methods for Microgrids: A Comprehensive Review

Mathematics ◽  
2021 ◽  
Vol 9 (24) ◽  
pp. 3174
Author(s):  
Muhammed Y. Worku ◽  
Mohamed A. Hassan ◽  
Luqman S. Maraaba ◽  
Mohammad A. Abido
Keyword(s):  
Signal Processing ◽  
Power Quality ◽  
Error Detection ◽  
Economic Feasibility ◽  
Detection Methods ◽  
Islanding Detection ◽  
Low Carbon ◽  
Detection Zone ◽  
Comprehensive Review ◽  
Advantages And Disadvantages

Microgrids that are integrated with distributed energy resources (DERs) provide many benefits, including high power quality, energy efficiency and low carbon emissions, to the power grid. Microgrids are operated either in grid-connected or island modes running on different strategies. However, one of the major technical issues in a microgrid is unintentional islanding, where failure to trip the microgrid may lead to serious consequences in terms of protection, security, voltage and frequency stability, and safety. Therefore, fast and efficient islanding detection is necessary for reliable microgrid operations. This paper provides an overview of microgrid islanding detection methods, which are classified as local and remote. Various detection methods in each class are studied, and the advantages and disadvantages of each method are discussed based on performance evaluation indices such as non-detection zone (NDZ), detection time, error detection ratio, power quality and effectiveness in multiple inverter cases. Recent modifications on islanding methods using signal processing techniques and intelligent classifiers are also discussed. Modified passive methods with signal processing and intelligent classifiers are addressing the drawbacks of passive methods and are getting more attention in the recently published works. This comprehensive review of islanding methods will provide power utilities and researchers a reference and guideline to select the best islanding detection method based on their effectiveness and economic feasibility.

Islanding Detection Parameters for Integrated Distributed Generation

2020 ◽  
Vol 13 ◽  
Author(s):  
S. Govinda Raju ◽  
K. Harinadha Reddy ◽  
Ch. Rami Reddy
Keyword(s):  
Power Quality ◽  
Distributed Generation ◽  
Hybrid Methods ◽  
Renewable Energy Sources ◽  
Detection Methods ◽  
Islanding Detection ◽  
Detection Zone ◽  
Advantages And Disadvantages ◽  
The Stability ◽  
Consumption Demand

Background: The growth of renewable energy sources is increasing in the world to meet the energy consumption demand. The major problem after the integration of renewable sources is islanding. The islanding is not safe for equipment and customers. As per Distributed Generation (DG) interconnection standards, it should be detected within 2 seconds. Objective: This paper presents the review of various islanding detection methods for increasing the stability of islanded DG. This will help future researchers for selecting the best islanding detection method with zero NDZ. Methods & Results: The islanding detection methods are classified as local and remote techniques. The local techniques are again classified as active, passive and hybrid methods. Each method is presented with their islanding detection time, power quality issues, Non Detection Zone (NDZ), advantages and disadvantages. Conclusion: The fuzzy based artificial intelligence with Particle Swarm Optimization (PSO) passive methods have been reduced the NDZ to zero and increase the stability of DG without degrading the power quality as active and passive methods.

scholarly journals A Survey of Islanding Detection Methods for Microgrids and Assessment of Non-Detection Zones in Comparison with Grid Codes

Energies ◽  
2022 ◽  
Vol 15 (2) ◽  
pp. 460
Author(s):  
José Antonio Cebollero ◽  
David Cañete ◽  
Susana Martín-Arroyo ◽  
Miguel García-Gracia ◽  
Helder Leite
Keyword(s):  
Detection Methods ◽  
Normal Operation ◽  
Islanding Detection ◽  
Personal Safety ◽  
Detection Zone ◽  
Detection Techniques ◽  
Advantages And Disadvantages ◽  
Grid Codes ◽  
Utility Grid

Detection of unintentional islanding is critical in microgrids in order to guarantee personal safety and avoid equipment damage. Most islanding detection techniques are based on monitoring and detecting abnormalities in magnitudes such as frequency, voltage, current and power. However, in normal operation, the utility grid has fluctuations in voltage and frequency, and grid codes establish that local generators must remain connected if deviations from the nominal values do not exceed the defined thresholds and ramps. This means that islanding detection methods could not detect islanding if there are fluctuations that do not exceed the grid code requirements, known as the non-detection zone (NDZ). A survey on the benefits of islanding detection techniques is provided, showing the advantages and disadvantages of each one. NDZs size of the most common passive islanding detection methods are calculated and obtained by simulation and compared with the limits obtained by ENTSO-E and islanding standards in the function of grid codes requirements in order to compare the effectiveness of different techniques and the suitability of each one.

Islanding Detection in a Distribution System with Modified DG Interface Controller

2017 ◽  
Vol 6 (3) ◽  
pp. 135 ◽  
Author(s):  
Abbineni Sai Subhadra ◽  
P.Linga Reddy ◽  
Shailesh . B Modi
Keyword(s):  
Power Quality ◽  
Distributed Generation ◽  
Distribution System ◽  
Harmonic Distortion ◽  
Total Harmonic Distortion ◽  
Detection Methods ◽  
Islanding Detection ◽  
Detection Zone ◽  
Current Harmonics ◽  
Crucial Problem

Islanding detection of Distributed Generation (DG) is considered as one of the most important aspects when interconnecting DGs to the distribution system. It was the crucial problem in distributed generation. This detection phenomenon having a great importance. These detection methods are divided into active and passive islanding detection. These two methods are based on changing in parameters such as frequency, voltage and current harmonics. But these methods have some challenges such as reduction in power quality and large Non Detection Zone (NDZ). In this paper, the proposed method is change of Total harmonic distortion (THD) will be studied for islanding detection diagnosis. The studied system was considered by following the standard IEEE-1547 and UL-1741.The system was simulated using MATLAB/ SIMULINK.

A Novel Islanding Detection Method for Inverter-Based Distributed Generation Systems

2013 ◽  
Vol 318 ◽  
pp. 597-600
Author(s):  
Dong Xie ◽  
Xing Zhang
Keyword(s):  
Power Quality ◽  
Distributed Generation ◽  
Detection Method ◽  
Detection Methods ◽  
Islanding Detection ◽  
Generation System ◽  
Detection Zone ◽  
Renewable Energy Technologies ◽  
Energy Technologies

In the area of renewable energy technologies, islanding of distributed generation system needs to be prevented due to safety reasons and to ensure quality of power supplied to the customers. Several islanding detection methods based on passive and active schemes have been proposed in the literature. Passive methods have a large non detection zone (NDZ), While active schemes degrade power quality. This paper proposed a new passive islanding detection method which combines the Wavelet-transform and neural network techniques. This method can reduce the NDZ to zero without any perturbation that deteriorates the power quality. The simulation results show that the proposed islanding detection method is effective and robust in all kind of conditions.

Islanding Detection in a Distribution System with Modified DG Interface Controller

2017 ◽  
Vol 6 (3) ◽  
pp. 133
Author(s):  
Abbineni Sai Subhadra ◽  
P. Linga Reddy ◽  
Shailesh B. Modi
Keyword(s):  
Power Quality ◽  
Distributed Generation ◽  
Distribution System ◽  
Harmonic Distortion ◽  
Total Harmonic Distortion ◽  
Detection Methods ◽  
Islanding Detection ◽  
Detection Zone ◽  
Current Harmonics ◽  
Crucial Problem

Islanding detection of Distributed Generation (DG) is considered as one of the most important aspects when interconnecting DGs to the distribution system. It was the crucial problem in distributed generation. This detection phenomenon having a great importance. These detection methods are divided into active and passive islanding detection. These two methods are based on changing in parameters such as frequency, voltage and current harmonics. But these methods have some challenges such as reduction in power quality and large Non Detection Zone (NDZ). In this paper, the proposed method is change of Total Harmonic Distortion (THD) will be studied for islanding detection diagnosis. The studied system was considered by following the standard IEEE-1547 and UL-1741. The system was simulated using MATLAB/ SIMULINK.

scholarly journals Comprehensive Review of Islanding Detection Methods for Distributed Generation Systems

Energies ◽  
2019 ◽  
Vol 12 (5) ◽  
pp. 837 ◽  
Author(s):  
Min-Sung Kim ◽  
Raza Haider ◽  
Gyu-Jung Cho ◽  
Chul-Hwan Kim ◽  
Chung-Yuen Won ◽  
...  
Keyword(s):  
Renewable Energy ◽  
Distributed Generation ◽  
Energy Utilization ◽  
Detection Methods ◽  
Research Trend ◽  
Islanding Detection ◽  
Renewable Energy Resources ◽  
Comprehensive Review ◽  
Electric Power Networks ◽  
Utility Network

The increased penetration of distributed generation (DG), renewable energy utilization, and the introduction of the microgrid concept have changed the shape of conventional electric power networks. Most of the new power system networks are transforming into the DG model integrated with renewable and non-renewable energy resources by forming a microgrid. Islanding detection in DG systems is a challenging issue that causes several protection and safety problems. A microgrid operates in the grid-connected or stand-alone mode. In the grid-connected mode, the main utility network is responsible for a smooth operation in coordination with the protection and control units, while in the stand-alone mode, the microgrid operates as an independent power island that is electrically separated from the main utility network. Fast islanding detection is, therefore, necessary for efficient and reliable microgrid operations. Many islanding detection methods (IdMs) are proposed in the literature, and each of them claims better reliability and high accuracy. This study describes a comprehensive review of various IdMs in terms of their merits, viability, effectiveness, and feasibility. The IdMs are extensively analysed by providing a fair comparison from different aspects. Moreover, a fair analysis of a feasible and economical solution in view of the recent research trend is presented.

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

2019 ◽  
Vol 2 (3) ◽  
pp. 25 ◽  
Author(s):  
Ashish Shrestha ◽  
Roshan Kattel ◽  
Manish Dachhepatic ◽  
Bijen Mali ◽  
Rajiv Thapa ◽  
...  
Keyword(s):  
Decision Tree ◽  
Distributed Generation ◽  
Distribution System ◽  
Short Circuit ◽  
Distribution Networks ◽  
Detection Methods ◽  
Islanding Detection ◽  
Detection Zone ◽  
Three Phase ◽  
Typical Distribution

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.

A comprehensive review of islanding detection methods

2021 ◽  
pp. 211-256
Author(s):  
B.K. Chaitanya ◽  
Anamika Yadav ◽  
Mohammad Pazoki ◽  
Almoataz Y. Abdelaziz
Keyword(s):  
Detection Methods ◽  
Islanding Detection ◽  
Comprehensive Review

Reformative Arithmetic for Non Detection Zone Islanding Detection Based on the Voltage Shift Technique

2013 ◽  
Vol 291-294 ◽  
pp. 2057-2062
Author(s):  
Ji Hong Zhang ◽  
Pei Hong Yang ◽  
Zhen Kui Wu
Keyword(s):  
Power Quality ◽  
Distributed Generation ◽  
Detection Method ◽  
Mathematics Model ◽  
Islanding Detection ◽  
Detection Zone ◽  
Effective Measure ◽  
Voltage Shift ◽  
Grid Connected Inverter ◽  
Shift Technique

The quick & exact anti-islanding is a mandatory feature for grid-connected distributed generation system. The conventional passivity detection method has the biggish blind section and lower reliability, especially when the grid-connected inverter export power and burthen power are balanceable; the islanding detection often is disabled. And that the initiative islanding detection method is considered an effective measure, but if the arithmetic & parameter choice irrelevantly, the islanding can not be detected easily; even injected harmonic to the grid and destroy power quality. An improved voltage shift technique islanding detection arithmetic is put forward in this paper, and the correlative mathematics model is established, and the project is analyzed and studied theoretically based on IEEE Std.2009-929 criterion. The result shows the method will not affect power quality, at the same time it can detect islanding phenomenon quickly& exactly, so it is feasible.

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