Analysis of the Sandia Frequency Shift (SFS) islanding detection method with a single-phase photovoltaic distributed generation system

Reis, Marcos Vinícios Gomes dos; Barros, Tárcio André dos Santos; Moreira, Adson Bezerra; Nascimento, Samy; Ruppert, F Ernesto; Villalva, Marcelo Gradella

doi:10.1109/isgt-la.2015.7381140

Cited by 23 publications

(14 citation statements)

References 15 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…detection time is 3 ms. The detection time is much lesser as compared to 2 s as mentioned in the common standard for islanding detection IEEE‐1547 [36], IEEE‐929‐2000 [37].…”

Section: Simulation and Resultsmentioning

confidence: 99%

Novel hybrid signal processing approach based on empirical mode decomposition and multiscale mathematical morphology for islanding detection in distributed generation system

Nayak¹,

Mallick²,

Dhar³

2020

IET gener. transm. distrib.

View full text Add to dashboard Cite

A novel islanding detection technique by hybridising empirical mode decomposition (EMD) and multi-scale mathematical morphology (MMM) is proposed to detect the islanding condition in a distributed generation system to ensure personnel and equipment safety. The proposed method first uses EMD to efficiently separate the collected raw signal into the number of intrinsic mode functions (IMFs) with different frequency scales and the signal is reconstructed considering important IMFs which carry transient features for further analysis using their correlation coefficients. MMM is used for determining a ratio index named as MMMRI, the threshold value of the proposed MMMRI decides islanding and other power quality (PQ) disturbances. The proposed hybrid method name coined as EMD-MMMRI. The main motivation behind hybridising two signal processing techniques is to reduce detection time and improve accuracy. The efficacy of the method is demonstrated for different PQ disturbances and islanding events simulated on a grid-connected, heavily wind energy penetrated distributed generation system using MATLAB/Simulink environment. The test bench validation of the proposed technique is obtained through TMS 320C6713 Starter Kit (DSK) in digital signal processor platform. The efficacy of proposed work is demonstrated with large number of simulation studies.

show abstract

“…detection time is 3 ms. The detection time is much lesser as compared to 2 s as mentioned in the common standard for islanding detection IEEE‐1547 [36], IEEE‐929‐2000 [37].…”

Section: Simulation and Resultsmentioning

confidence: 99%

Novel hybrid signal processing approach based on empirical mode decomposition and multiscale mathematical morphology for islanding detection in distributed generation system

Nayak¹,

Mallick²,

Dhar³

2020

IET gener. transm. distrib.

View full text Add to dashboard Cite

show abstract

“…This SFS‐based IDM provides an improvement in the detection of islanding. Positive feedback for PCC frequency is implemented in this process and the chopping factor ( Cf ) in this method is kind of altered than that of the AFD technique stated by the equation mentioned below 43

italicCf = {Cf}_{0} + K ((), f_{pcc} - f_{line})

where Cf 0 is denoted as the chopping factor when the frequency error is minimum, K represents the gain of the controller, f line and f PCC are line frequency and the frequency at PCC, respectively.…”

Section: Islanding Detection Methodsmentioning

confidence: 99%

“…Positive feedback for PCC frequency is implemented in this process and the chopping factor (Cf) in this method is kind of altered than that of the AFD technique stated by the equation mentioned below. 43 Cf…”

Section: Cfmentioning

confidence: 99%

A comprehensive review on intelligent islanding detection techniques for renewable energy integrated power system

Panigrahi

Bhuyan

Shukla

et al. 2021

Intl J of Energy Research

View full text Add to dashboard Cite

Summary Renewable sources of energy are used extensively in the distribution grid to meet the need for growing electricity demand and to resolve the global heating crisis caused by traditional energy sources. They offer many advantages like better efficiency, power quality, and lower air pollution. One of the vital issues with these integrations is islanding condition arising due to the sudden disconnection of grid because of some abnormal situations; however, the distributed generation (DG) retains the power supply to the local loads. Thus, efficient detection of islanding and quick detachment of DG are vital to prevent failure of equipments, grid safety disruption, and risks to personnel safety. In this context, this article represents a comprehensive review of islanding issues and different islanding detection methods (IDMs) that provide a detailed assessment for filling the research gap and thereby highlights the various issues related to island detection. A broad classification of IDMs is established based on the conventional and modern techniques such as local (Active, Passive & Hybrid) and remote IDMs with their detailed illustrations including both intelligent and signal processing‐based IDMs. Comparison of various IDMs based on their merits, demerits, and various performance analysis including the non‐detection zone, detection time, quality factor, power quality, effect on a microgrid, implementation cost, and applicability in multi‐DG system is provided. Hence, this review will provide an insight for the new researchers interested in the area highlighting the different islanding detection techniques with their relative merits and demerits.

show abstract

“…SFS is entitled after Sandia National Laboratories (SNL) that developed the method [40]. SFS is almost the same as AFDPF scheme with further innovation of the AFD [36].…”

Section: F Sandia Frequency Shift (Sfs)mentioning

confidence: 99%

“…( ) ( ) where is the initial chopping coefficient without frequency error or islanding activity, K is the acceleration constant, is voltage frequency at the PCC, and is voltage frequency of the grid [41]. In an episode of islanding, the frequency, increases in which the increment speed is depending on the predefined variable K. Therefore, selection strategy of variable K is crucial for islanding detection efficiency [40]. SFS is one of the active methods that has highest efficiency with smallest NDZ in addition to ease of implementation.…”

Section: F Sandia Frequency Shift (Sfs)mentioning

confidence: 99%

A Research of Islanding Detection Method for Distributed Generation: Mechanism, Merits and Demerits

2019

IJITEE

View full text Add to dashboard Cite

Renewable energy is substantially applied at the distribution grid in order to fulfill the electricity demand as well as addressing global heating issue caused by conventional energy source. However, application of the distributed energy source raises new concern in regards of unintentional islanding activity in which prompts grid protection issues hence, endangering utility worker’s safety. These several decades feature thousands of invention and innovation of anti-islanding method developed by researchers to satisfy the demand of grid protection. Therefore, this paper conducts an overview on several islanding detection schemes with concentration on the mechanism of the method, the merits as well as the demerits of the scheme. It is concluded that there is no ideal method developed as yet, but some of these methods or integration of them are able to be applied practically to specific distributed source and grid structure.

show abstract

Analysis of the Sandia Frequency Shift (SFS) islanding detection method with a single-phase photovoltaic distributed generation system

Cited by 23 publications

References 15 publications

Novel hybrid signal processing approach based on empirical mode decomposition and multiscale mathematical morphology for islanding detection in distributed generation system

Novel hybrid signal processing approach based on empirical mode decomposition and multiscale mathematical morphology for islanding detection in distributed generation system

A comprehensive review on intelligent islanding detection techniques for renewable energy integrated power system

A Research of Islanding Detection Method for Distributed Generation: Mechanism, Merits and Demerits

Contact Info

Product

Resources

About