Abstract
Owning to extensively enhancement of renewable energy resources in the distribution grids, the employment of such sources is also associated with various issues such as the islanding problem. In this paper, an effective method has been proposed for detection of the islanding in the micro-grids comprised of inverter or direct fed types of distributed generations. The proposed method is designed based on the intrinsic modes of the voltage signal measured at the PCC point. More specifically, through the calculation of the positive sequence of the voltage signal variation (PSVSV) and extracting the signal energy of PSVSV's intrinsic modes, the islanding can be detected. The superiority of the proposed islanding detection method is manifested in the condition where the generation of distributed resources is in balance with the loading consumption. The performance of the proposed method has been evaluated considering the conditions where islanding is difficult to detect or might be mistaken with other phenomena given by loads within the NDZ region, different fault types, and loads with different power factors. The performance evaluation has been carried out through simulations, and furthermore has been compared with the state-of-the-art algorithms.
Highlights
With the increasing demand for electrical energy, the growing con cerns upon the environmental and geographical issues of the fossil fuel -based energy sources, distributed generation (DG) has been growingly raised a lot of popularity amongst the power industry technicians, and investors
The fault is initiated at t=2.25 s, and it remains for 0.1 s. according to Figs. 16–19, rate of change of frequency (ROCOF) fails to discriminate non-islanding from islanding condition since the frequency variations exceed allowable range
The proposed algorithm utilizes voltage signal measured at the PCC point, to obtain the positive sequence of the voltage signal variation (PSVSV)
Summary
With the increasing demand for electrical energy, the growing con cerns upon the environmental and geographical issues of the fossil fuel -based energy sources, distributed generation (DG) has been growingly raised a lot of popularity amongst the power industry technicians, and investors. Hilbert–Huang Transform (HHT) is another powerful tool for time-frequency analysis of stationary and non- stationary signals that is proposed for islanding detection [25,26,27]. It can be deduced that the most important deficiency of the passive methods is their inability of islanding detection in the case of balance between DG power and load consumption. Even though such an issue is tackled by active methods; due to a constantly applied disturbance to the system, the power quality is degraded and, such methods are not commonly popular.
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