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

Abstract

<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>

Analysis of active islanding detection techniques for grid-connected inverters systems

“…Therefore, this method remains a good compromise between the quality of the waveform, the efficiency of islanding detection and the effect on the transient response of the system. However when the local load connected to the point of interconnection has a factor ofhigher quality, the effectiveness of this method will be considerably reduced [26].…”

Design and verification of q-axis perturbation based active islanding detection schemes for DG systems

“…These IDMs theoretically have no NDZ but can be quite expensive. Passive IDM employs various electrical parameters at point of common coupling (PCC), such as voltage variation beyond thresholds [9], frequency variation beyond thresholds [10], voltage total harmonic distortion (THD) going above the desired limits, current THD going above the desired limits [11], rate of change of reactive power [12], harmonic signatures [13] in order to recognize an islanding scenario. As the grid's power sharing approaches zero, passive islanding detection methods (IDMs) encounter challenges in discerning islanding events due to the diminishing significance of deviations in PCC parameters.…”

Hybrid islanding detection technique for distribution network considering the dynamic behavior of power and load

“…24 Signal processing IDMs include wavelet transform (WT), 30 time-time transform (TTT), 4 Hilbert Huang transform (HHT), 4 S-transform (ST), 30 and pattern recognition based method. 4 On the other hand, example of intelligent classifiers combined with signal processing techniques are fuzzy logic (FL), 31 artificial neural network (ANN), 32 support vector machine (SVM), 33 and Helmholtz oscillator. 14 From the above discussion, it can be seen that over the last few decades, different types of IDMs have been developed to detect islanding efficiently; however, all of the methods possess limitations like complicated algorithm, long detection time, and not tested in real-world test systems.…”

“…Signal processing IDMs include wavelet transform (WT), 30 time–time transform (TTT), 4 Hilbert Huang transform (HHT), 4 S‐transform (ST), 30 and pattern recognition based method 4 . On the other hand, example of intelligent classifiers combined with signal processing techniques are fuzzy logic (FL), 31 artificial neural network (ANN), 32 support vector machine (SVM), 33 and Helmholtz oscillator 14 …”