Average Absolute Frequency Deviation Value Based Active Islanding Detection Technique

Gupta, Pankaj; Bhatia, R.; Jain, Dinesh Kumar

doi:10.1109/tsg.2014.2337751

Cited by 116 publications

(66 citation statements)

References 24 publications

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“…In a communication system, due to different clock rates between the transmitter and receiver, the signal frequency in the receiver will deviate from the signal frequency in the transmitter [19,26]. Additionally, because of superimposed noise, non-linear static characteristics and slow response [22], the frequency deviation of the received signal is increased, as shown in Figure 1.…”

Section: Problem Statementmentioning

confidence: 99%

A Filter Structure for Arbitrary Re-Sampling Ratio Conversion of a Discrete Signal

Zhang¹,

Zhu

2017

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Abstract:In this report, we studied the sampling synchronization of a discrete signal in the receiver of a communication system and found that the frequency of the received signal usually exhibits some unpredictable deviations. We observed many harmonics caused by the frequency deviations of the discrete received signal. These findings indicate that signal sampling synchronization is an important research technique when using discrete Fourier transforms (DFT) to analyze the harmonics of discrete signals. We investigated the influence of these harmonics on the performance of signal sampling and studied the frequency estimation of the received signal. Based on the frequency estimation of the received signal, the sampling rate of the discrete signal was converted using a modified Farrow filter to achieve sampling synchronization for the received signal. The algorithm discussed here can be applied to sampling synchronization for monitoring and control systems. Finally, simulations and experimental results are presented.

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Section: Problem Statementmentioning

confidence: 99%

A Filter Structure for Arbitrary Re-Sampling Ratio Conversion of a Discrete Signal

Zhang¹,

Zhu

2017

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“…In recent years, distributed generation technologies have developed rapidly, and that implement the parallel operation. Distributed generation technology in power system not only improves the reliability and flexibility of the power, but also brings some new challenges at the same time, an islanding effect is one of them [4][5][6][7]. Islanding refers to when the power company or power supply enterprises cannot control range, due to power failure of grid-connected power generation system and the load to form a self-contained power that supply electric power company.…”

Section: Introductionmentioning

confidence: 99%

“…The self-sufficiency of islanding phenomenon can make severe effects to repair personnel and electrical apparatus even the power grid. So the distributed generation system needs to be able to suitably detect the occurrence of islanding [7,26]. At present, the islanding detection methods include local detection and remote detection technology.…”

Section: Introductionmentioning

confidence: 99%

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An Analytical Survey of the Islanding Detection Techniques of Distributed Generation Systems

Khichar

Lalwani

2018

Technol Econ Smart Grids Sustain Energy

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This paper provides an analytical survey of the islanding detection techniques for the distributed generation systems. Islanding phenomena on takes place when the power supply from the main utility is intermittent due to numerous reasons, but the distributed generation keeps supplying power into the distribution networks. Islanding can be dangerous to workers and electrical equipment, even the power grid. Therefore, islanding detection is the priority among priorities. Islanding detection is a precondition of two working modes switching for distributed generation. In this paper, a detailed description followed by the classification of the islanding detection techniques has been made based on features, such as detection time, size of non-detection zone, power quality disturbances, system cost and operation under multiple distributed generation units. The merits and demerits of islanding detection methods are analyzed and summarized in this paper. In this manner, the greatest detection outcome can be achieved by exploiting the merits of each method. This paper is aimed to serve as a convenient reference and guidance value for deciding the islanding detection method for future islanding users in distributed generation system.

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“…The islanding condition is a situation in which a part of an electric power system is solely energized and separated from the rest of the system. Failure to islanding detection [3] have several negative impacts for generators and connected loads. Imported one is the islanded grid because it cannot effectively control its frequency and voltage.…”

Section: Introductionmentioning

confidence: 99%

Anti-Islanding Protection of Distributed Generation Based on Social Spider Optimization Technique

Vijay¹,

Priya²

2017

IJAERS

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Average Absolute Frequency Deviation Value Based Active Islanding Detection Technique

Cited by 116 publications

References 24 publications

A Filter Structure for Arbitrary Re-Sampling Ratio Conversion of a Discrete Signal

A Filter Structure for Arbitrary Re-Sampling Ratio Conversion of a Discrete Signal

An Analytical Survey of the Islanding Detection Techniques of Distributed Generation Systems

Anti-Islanding Protection of Distributed Generation Based on Social Spider Optimization Technique

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