A new hybrid islanding detection method combination of NJSMS and Q-f for islanding detection of microgrids

2015 ◽  
Author(s):  
Farhad Namdari ◽  
Mahsa Parvizi ◽  
Esmaeel Rokrok
Keyword(s):  
Detection Method ◽  
Islanding Detection

scholarly journals An Islanding Detection Method by Using Frequency Positive Feedback Based on FLL for Single-Phase Microgrid

2017 ◽  
Vol 8 (4) ◽  
pp. 1821-1830 ◽  
Author(s):  
Qinfei Sun ◽  
Josep M. Guerrero ◽  
Tianjun Jing ◽  
Juan C. Vasquez ◽  
Rengang Yang
Keyword(s):  
Positive Feedback ◽  
Single Phase ◽  
Detection Method ◽  
Islanding Detection

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.

An effective passive islanding detection method for PV single-phase grid-connected inverter

Solar Energy ◽  
2013 ◽  
Vol 97 ◽  
pp. 155-167 ◽  
Author(s):  
Ku Nurul Edhura Ku Ahmad ◽  
Nasrudin Abd Rahim ◽  
Jeyraj Selvaraj ◽  
Ahmad Rivai ◽  
Krismadinata Chaniago
Keyword(s):  
Single Phase ◽  
Detection Method ◽  
Islanding Detection ◽  
Grid Connected Inverter

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.

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