scholarly journals A Solution to the Parameter Selection and Current Static Error Issues With Frequency Shift Islanding Detection Methods

2021 ◽  
Vol 68 (2) ◽  
pp. 1401-1411 ◽  
Author(s):  
Menghua Liu ◽  
Wei Zhao ◽  
Qing Wang ◽  
Songling Huang ◽  
Kunpeng Shi
Keyword(s):  
Frequency Shift ◽  
Parameter Selection ◽  
Detection Methods ◽  
Islanding Detection ◽  
Static Error

Performance Assessment of Slip Mode Frequency Shift (SMS) Islanding Detection Methods

2014 ◽  
Vol 699 ◽  
pp. 546-551 ◽  
Author(s):  
Ahmad Farid Sapar ◽  
Chin Kim Gan ◽  
Meysam Shamshiri ◽  
Anis Niza Ramani
Keyword(s):  
Frequency Shift ◽  
Distributed Generation ◽  
Mode Frequency ◽  
Detection Methods ◽  
Time Range ◽  
Islanding Detection ◽  
Slip Mode ◽  
Safety Hazard ◽  
Detection Techniques ◽  
Prevention Methods

The awareness concerning the grid connected Photovoltaic (PV) has become vital and a major concern nowadays. Islanding detection is one of the most dominant challenges for distributed generation system connected to the utility grid. In addition, islanding has not been a preferable option as it may pose safety hazard and may cause damage to power generation and power supply facilities as a result of unsynchronized re-closer. Therefore, the islanding detection techniques are needed to ensure safe and reliable system operation. One of the established islanding prevention methods is the Slip Mode Frequency Shift (SMS) islanding method, which has numerous advantages over the other techniques. This paper investigates the active islanding detection methods and specifically focused on the SMS islanding method. The results show that the SMS islanding method successfully detected an unintentional fault and managed to isolate the system within the prescribed time range.

scholarly journals Over/Undervoltage and Undervoltage Shift of Hybrid Islanding Detection Method of Distributed Generation

2015 ◽  
Vol 2015 ◽  
pp. 1-11 ◽  
Author(s):  
Manop Yingram ◽  
Suttichai Premrudeepreechacharn
Keyword(s):  
Control System ◽  
Distributed Generation ◽  
Hybrid Method ◽  
Detection Method ◽  
System Simulation ◽  
Detection Methods ◽  
Islanding Detection ◽  
Active Method ◽  
Passive Method ◽  
Simulation Results

The mainly used local islanding detection methods may be classified as active and passive methods. Passive methods do not perturb the system but they have larger nondetection zones, whereas active methods have smaller nondetection zones but they perturb the system. In this paper, a new hybrid method is proposed to solve this problem. An over/undervoltage (passive method) has been used to initiate an undervoltage shift (active method), which changes the undervoltage shift of inverter, when the passive method cannot have a clear discrimination between islanding and other events in the system. Simulation results on MATLAB/SIMULINK show that over/undervoltage and undervoltage shifts of hybrid islanding detection method are very effective because they can determine anti-islanding condition very fast.ΔP/P>38.41% could determine anti-islanding condition within 0.04 s;ΔP/P<-24.39% could determine anti-islanding condition within 0.04 s;-24.39%≤ΔP/P≤ 38.41% could determine anti-islanding condition within 0.08 s. This method perturbed the system, only in the case of-24.39% ≤ΔP/P ≤38.41% at which the control system of inverter injected a signal of undervoltage shift as necessary to check if the occurrence condition was an islanding condition or not.

scholarly journals A Test Device for Optimize PMU-Based Islanding Detection Technology

2015 ◽  
Vol 10 (2) ◽  
Keyword(s):  
Power Systems ◽  
Power Plants ◽  
Detection Method ◽  
Detection Methods ◽  
Islanding Detection ◽  
Algorithm Optimization ◽  
Test Device ◽  
Photovoltaic Power ◽  
Detection Technology ◽  
Bulk Power

Islanding detection is a necessary function for grid connected distributed generators. Usually, islanding detection methods can be classified as two catalogues: remote detecting methods and local detecting methods. Most of them have limitation and defects when they are applied in photovoltaic power stations. Recently synchronous phasor measuring units (PMU) is proposed to be applied for islanding detecting. Although the islanding detection method is supposed to be applied for traditional bulk power systems, it is also suitable for renewable generation power plants. To do this islanding detection will be implemented on central management unit of photovoltaic power station instead of on grid-tied inverters as traditionally. In implementing, the criteria of this method and the threshold of algorithm are needed to be optimized. This paper develops a test device which can optimize PMU-based islanding detection technology to validate the proposed islanding detection method applying in PV station. Then using simulation to discuss how to set a reasonable threshold for the researched islanding detection method applied in PV stations. Finally the paper provides a platform for the algorithm optimization.

Evolution of Islanding Detection Methods for Microgrid Systems

2021 ◽  
pp. 221-257
Author(s):  
Mahiraj Singh Rawat ◽  
Shelly Vadhera
Keyword(s):  
Electrical Power ◽  
Distribution Networks ◽  
Detection Methods ◽  
Islanding Detection ◽  
Mass Generation ◽  
Battery Energy Storage ◽  
Photovoltaic Arrays ◽  
Battery Energy Storage Systems ◽  
Battery Energy

A microgrid is a representation of controllable electrical power network, which comprises the distributed generation (DG) such as micro-hydro, wind turbines, photovoltaic arrays, bio-mass generation, battery energy storage systems (BESSs), and a group of interconnected load. A typical microgrid can be operated in either grid connected or island mode. The issue of unintentional islanding in microgrid is a major challenge for power engineers as it may harm the service personnel working during maintenance or restoration of the main grid. In literature, various passive, active, and hybrid islanding detection methods (IDMs) have been developed and implemented by researchers/engineers. In this chapter, the proposed IDMs from the recent literature have been analyzed and briefly discussed. The primary requirement of IDMs is fast and accurate detection of main grid failure and should not deteriorate the power quality of distribution networks.

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