scholarly journals A robust islanding detection method with zero-non-detection zone for distribution systems with DG

2021 ◽  
Vol 133 ◽  
pp. 107247
Author(s):  
Alexandre Serrano-Fontova ◽  
Juan A. Martinez ◽  
Pau Casals-Torrens ◽  
Ricard Bosch
Keyword(s):  
Distribution Systems ◽  
Detection Method ◽  
Islanding Detection ◽  
Detection Zone

scholarly journals Evaluation of Passive Islanding Detection Methods for Line to Ground Unsymmetrical Fault in Three Phase Microgrid Systems: Microgrid Islanding Detection Method

2021 ◽  
Vol 11 (5) ◽  
pp. 7591-7597
Author(s):  
L. Bangar Raju ◽  
K. Subba Rao
Keyword(s):  
Phase Angle ◽  
Power Distribution ◽  
Distribution Systems ◽  
Detection Method ◽  
Rate Of Change ◽  
Detection Methods ◽  
Islanding Detection ◽  
Detection Zone ◽  
Local Methods ◽  
Nuisance Tripping

Distributed Generators (DGs) are incorporated in the power distribution systems to develop green energies in microgrids. Islanding is a challenging task in a microgrid. Different types of islanding methods, e.g. local and remote methods, have been developed for handling this task, with local methods being easier to implement, while remote methods are communication-based and costly. The local methods are classified as passive, active, and hybrid, out of which the passive methods are more simple and economical. In this paper, a passive islanding detection method is proposed to detect single line to ground fault. This fault is considered to represent the 60 to 70% of the total un-intentional faults of this category. The available passive methods cannot detect islanding at lower power mismatches as the variations in voltage and frequency fall within thresholding values. In this method, the voltage signals are first retrieved at the targeted DG output and then the phase angle is estimated. Finally, the phase angle is differentiated to get Rate Of Change Of Voltage Phase Angle (ROCOVPA) to detect islanding, and then it is compared with the Rate Of Change Of Frequency (ROCOF) at zero percent power mismatch. Simulation results depict that the ROCOVPA is more effective than ROCOF. The proposed method not only reduces detection time and Non-Detection Zone (NDZ) but is also stable during non-islanding cases like load connection and disconnection to avoid nuisance tripping.

scholarly journals Improved Three-Phase AFD Islanding Detection Based on Digital Control and Non-Detection Zone Elimination

Energies ◽  
2018 ◽  
Vol 11 (9) ◽  
pp. 2421
Author(s):  
Xinxin Zheng ◽  
Rui Zhang ◽  
Xi Chen ◽  
Nong Sun
Keyword(s):  
Control System ◽  
Phase Angle ◽  
Digital Control ◽  
Detection Method ◽  
Frequency Drift ◽  
Phase System ◽  
Islanding Detection ◽  
Detection Zone ◽  
Three Phase ◽  
Three Phase Inverter

This paper proposes an improved active frequency drift (AFD) islanding detection method of a three-phase inverter. Different than the existing single-phase AFD method, in the three-phase system, the disturbance is added to the phase angle, which takes part in coordinate transformation calculations. Thus, the frequency drift of the three-phase reference current can be realized by the disturbance of the phase angle. It is unnecessary to add frequency drift to each phase respectively with the proposed method, which can simplify the control system. Furthermore, the non-detection zone can be eliminated by updating certain parameters; therefore, the detection method is sensitive. In this paper, the application of the proposed method in a digital control system is discussed in detail. The non-detection zone is analyzed, and an elimination method is proposed. Finally, the simulation and experimental results are given to verify the theoretical analysis.

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.

scholarly journals A fuzzy rule based approach for islanding detection in grid connected inverter systems

2021 ◽  
Vol 11 (6) ◽  
pp. 4759
Author(s):  
Naima Ikken ◽  
Nour-Eddine Tariba ◽  
Abdelhadi Bouknadel ◽  
Ahmed Haddou ◽  
Hafsa El Omari ◽  
...  
Keyword(s):  
Fuzzy Logic ◽  
Distribution System ◽  
Power Plants ◽  
Distribution Systems ◽  
Fuzzy Logic Controller ◽  
Detection System ◽  
Fuzzy Rule ◽  
Islanding Detection ◽  
Detection Zone ◽  
Rule Based Approach

<span lang="EN-US">Islanding is when an area of the electrical distribution system is isolated from the electrical system while being powered by distributed generators. An important condition for the interconnection of power plants and distribution systems is the ability of the power plant to detect islands. The presented and proposed method is a combination of best active sandia frequency shift (SFS) method with the intelligent fuzzy logic controller, which has been tested in distributed production using the island detection function. And the choice to improve the method by fuzzy logic control (FLC) is retained, as this process is more effective in decreasing the non-</span><span lang="EN-US">detection zone (NDZ) and in further improving the efficiency of the islanding detection system. This paper proposes a new active islanding detection technique controlled by a fuzzy logic controller, for grid connected photovoltaic (PV) inverters. In addition, the efficiency and performance of the proposed method strategy for islanding detection has been analyzed and tested in the various situations of the network. In addition, the results of the simulations with the <span lang="EN-US">power </span><span lang="EN-US">simulation (</span>PSIM) software will be provided to illustrate the main conclusions and the development of the control. Thus, will be used to show the feasibility and validity of the proposed new algorithm.</span>

scholarly journals Hybrid Islanding Detection Method of Photovoltaic-Based Microgrid Using Reference Current Disturbance

Energies ◽  
2021 ◽  
Vol 14 (5) ◽  
pp. 1390
Author(s):  
Reza Bakhshi-Jafarabadi ◽  
Marjan Popov
Keyword(s):  
Power Output ◽  
Detection Method ◽  
Operating Mode ◽  
Active Power ◽  
Photovoltaic System ◽  
Voltage Source ◽  
Islanding Detection ◽  
Detection Zone ◽  
Absolute Deviation ◽  
Point Of Common Coupling

This paper proposes a new hybrid islanding detection method for grid-connected photovoltaic system (GCPVS)-based microgrid. In the presented technique, the suspicious islanding event is initially recognized whilst the absolute deviation of the point of common coupling (PCC) voltage surpasses a threshold. After an intentional delay, a transient disturbance is injected into the voltage source inverter’s d-axis reference current to decline the active power output. As a result, the PCC voltage reduces in islanding operating mode whilst its variation is negligible in the grid presence. Therefore, the simultaneous drop of PCC voltage and active power output is used as an islanding detection criterion. The effectiveness of the proposed algorithm is investigated for various islanding and non-islanding scenarios for a practical distribution network with three GCPVSs. The simulation results in MATLAB/Simulink show successful islanding detection with a small non-detection zone within 300 ms without false tripping during non-islanding incidents. In addition to the precise and fast islanding classification, the presented scheme is realized inexpensively; its thresholds are determined self-standing, and its output power quality degradation is eminently small. Moreover, the active power output is restored to the nominal set after islanding recognition, enhancing the chance of GCPVS generation at its highest possible level in the autonomous microgrid.

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.

An Improved Islanding Detection Method for Photovoltaic Grid-Connected System

2013 ◽  
Vol 748 ◽  
pp. 453-456
Author(s):  
Chen Xin Li ◽  
Qi Ping Yuan
Keyword(s):  
Detection Method ◽  
Harmonic Distortion ◽  
Active Power ◽  
Photovoltaic System ◽  
Detection Methods ◽  
Islanding Detection ◽  
Detection Zone ◽  
Frequency Detection ◽  
Essential Function ◽  
Maintenance Personnel

Islanding detection is a very essential function for a photovoltaic grid-connected system. Islanding phenomenons not only damage to equipment, but also endanger to the safety of the maintenance personnel. Passive islanding detection methods that use alone have considerable non-detection zone (NDZ); active islanding detection methods that use alone are that join disturbance to system, but the disturbance will cause system instability [1]. In this paper, an over/under voltage and over/under frequency detection method combines with an improved active power perturbation detection method are proposed. The photovoltaic system can be reduced non-detection zone (NDZ) with improved the power quality and reduced the total harmonic distortion (THD) through this method.

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