ROCOF for detecting Islanding of Photovoltaic system

Elshrief, Yasser Ahmed; Helmi, Dalal Hussein; Asham, Amin Danial; Abozalam, Belal

doi:10.21608/mjeer.2019.70897

Cited by 5 publications

(2 citation statements)

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“…Another extension of this study is to include testing of adaptive fuzzy [30][31][32][33]. Additionally, a combination between active frequency drift [34] and rate of change of frequency [35] with ANFIS [36] can be introduced.…”

Section: Discussionmentioning

confidence: 99%

Zero Non-Detection Zone for Islanding Detection Based on a Novel Hybrid Passive-Active Technique with Fuzzy Inference System

et al. 2022

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Distributed generation (DG) has reformed the meaning of power generation from large scale to small scale, but unintentional islanding is the main issue when connecting DG and the utility grid. A lot of techniques have been used for detecting islanding, among these techniques, there are passive and active. The main problem of passive techniques is their large non-detection zone (NDZ), while the main drawback of active techniques is their undesirable effect on power quality. In this paper, a proposed hybrid passive–active systematic methodology based on a smart classifier that decides to use an active method instead of a passive one is presented. In the proposed scheme, sensors are used for measuring the reactive power at three terminals: the DG terminal, grid terminal, and load terminal. The novelty in this paper is the accurate detection of islanding within a shorter time either in the normal case or NDZ; also it can differentiate between islanding and grid faults without degrading the power quality of the overall system as the active technique does not have to be used continuously, and so total harmonic distortion does not exceed the standard value (5%) detected by IEEE standards. The proposed scheme was simulated using the MATLAB/Simulink platform, and the results reflect its potential with a comparative study.

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Section: Discussionmentioning

confidence: 99%

Zero Non-Detection Zone for Islanding Detection Based on a Novel Hybrid Passive-Active Technique with Fuzzy Inference System

et al. 2022

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“…Then setting thresholds for these parameters can help for islanding detection if the value of any parameter is out of range. The implementation of this technique is fast, easy, more uncomplicated and has no disturbance in the system, despite all these advantages, it has a significant NDZ [11] which is considered the primary defect in this technique even we use traditional passive techniques or smart techniques [12]- [18]. The challenge of the passive methods is how to select the convenient threshold [19] which is matched with the IEEE 1547 standard.…”

Section: Ai Techniquesmentioning

confidence: 99%

On active anti-islanding techniques: survey

Elshrief¹,

Abd‐Elhaleem

Zalam

et al. 2021

IJEECS

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The phenomenon of feeding loads from any distributed generators (DGs) with a total disconnection of utility grid at the point of common coupling is called Islanding. The DGs are usually independently controlled. Hence, when the islanding problem occurs, the electric utility loses the control and supervision over that section of the power grid. Furthermore, prolonged islanding can prevent reconnection to the power grid and may cause damage due to voltage and frequency excursions. Therefore, the islanding detection, which is also called anti-islanding (AI), is one of the most critical aspects of the integration of DG sources into the power grid. In this paper, a<strong> </strong>comprehensive survey on the local AI techniques is illustrated, especially active type which is used for improving the performance regarding the size of the non-detection zone and detection speed. Extensive comparisons are provided to demonstrate the effectiveness of each technique.

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Fast and accurate islanding detection technique for microgrid connected to photovoltaic system

Elshrief¹,

Helmi

Abd‐Elhaleem

et al. 2021

Journal of Radiation Research and Applied Sciences

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Islanding condition means the case of feeding the loads from any distributed generator (DG) with a complete disconnection of the utility grid at the point of common coupling. The main technical issue in DG integration with the primary grid is the islanding condition. Hence, islanding must be detected using an appropriate anti-islanding technique which is needed to be faster in terms of time detection and accuracy. This paper illustrates the phenomenon of islanding and the passive methods which are used for preventing it. The main contribution of this paper is to detect this phenomenon as fast and accurately as possible using the technique of rate of change of power (ROCOP) based on the terminal voltage (TV) (ROCOP-TV) of the Photovoltaic (PV) inverter. The results of the proposed technique have been studied through extensive simulations using the MATLAB/Simulink platform. The ROCOP-TV technique results are compared with various types of passive detection relays after synchronization between the grid side and PV side. Furthermore, the proposed technique was not only able to detect islanding at the instance of its occurrence but also can distinguish between islanding and regular grid faults. The simulation results illustrate the proposed scheme's effectiveness and flexibility based on the MATLAB/Simulink platform.

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ROCOF for detecting Islanding of Photovoltaic system

Cited by 5 publications

References 0 publications

Zero Non-Detection Zone for Islanding Detection Based on a Novel Hybrid Passive-Active Technique with Fuzzy Inference System

Zero Non-Detection Zone for Islanding Detection Based on a Novel Hybrid Passive-Active Technique with Fuzzy Inference System

On active anti-islanding techniques: survey

Fast and accurate islanding detection technique for microgrid connected to photovoltaic system

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