Adaptive Detection of Islanding and Power Quality Disturbances in a Grid-Integrated Photovoltaic System

Prakash, Satya; Purwar, Shubhi; Mohanty, Soumya R.

doi:10.1007/s13369-020-04378-w

Cited by 14 publications

(5 citation statements)

References 30 publications

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“…A new method of islanding detection is proposed in [ 38 ] for photovoltaic systems (PVs) connected to the main grid using the maximum power point (MPP) tracking algorithm. In [ 39 ], morphological filters along with experimental modal analysis (EMD) have been used to implement islanding adaptive signal detection.…”

Section: Introductionmentioning

confidence: 99%

Real-time detection of microgrid islanding considering sources of uncertainty using type-2 fuzzy logic and PSO algorithm

Khonakdari

Kamarposhti

2021

PLoS ONE

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In this paper, a new innovative type-2 fuzzy-based for microgrid (MG) islanding detection is proposed in the condition of uncertainties. Load and generation uncertainties are two main sources of uncertainties in microgrids (MGs). Regardless of the uncertainties, the results cannot be confirmed. The proposed controller detects islanding in the fastest time under different conditions, and the uncertainties in the system will not considerably affect the controller’s performance. The proposed method is simulated on the sample system and examined in different scenarios. Then, a comparison is made in different conditions and scenarios between the suggested method and some common methods that have been presented so far to demonstrate the ability of the proposed method for islanding detection.

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Section: Introductionmentioning

confidence: 99%

Real-time detection of microgrid islanding considering sources of uncertainty using type-2 fuzzy logic and PSO algorithm

Khonakdari

Kamarposhti

2021

PLoS ONE

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“…With the further development of EMD, more and more technologies combine EMD with various technologies, reducing the detection time of EMD and improving detection accuracy. It includes the combination of EMD and morphological filter [38]. In [39], EMD and multi-scale mathematical morphology are mixed to achieve PQD detection based on adaptive signal processing.…”

Section: Empirical Mode Decompositionmentioning

confidence: 99%

A Review on Intelligent Detection and Classification of Power Quality Disturbances: Trends, Methodologies, and Prospects

Yan¹,

Chen²,

Geng³

et al. 2023

Computer Modeling in Engineering &Amp; Sciences

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With increasing global concerns about clean energy in smart grids, the detection of power quality disturbances (PQDs) caused by energy instability is becoming more and more prominent. It is well acknowledged that the PQD effects on power grid equipment are destructive and hazardous, which causes irreversible damage to underlying electrical/electronic equipment of the concerned intelligent grids. In order to ensure safe and reliable equipment implementation, appropriate PQD detection technologies must be adopted to avoid such adverse effects. This paper summarizes the newly proposed and traditional PQD detection techniques in order to give a quick start to new researchers in the related field, where specific scenarios and events for which each technique is applicable are also clearly presented. Finally, comments on the future evolution of PQD detection techniques are given. Unlike the published review articles, this paper focuses on the new techniques from the last five years while providing a brief recap on traditional PQD detection techniques so as to supply researchers with a systematic and state-of-the-art review for PQD detection.

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“…By broadcasting a small signal coming via the DG bus and getting to the breaker location, power line signaling is used in [8] to identify islanding. In [9] the morphological filters and empirical code decomposition (EMD) is used for islanding detection. Remote detection techniques can find islands in the narrow range of non-detection zone (NDZ) but the primary disadvantages of remote approaches, are their possibility of communication link breakdown, need for backup protection as well as they are expensive and difficult to execute.…”

Section: ░ 1 Introductionmentioning

confidence: 99%

A Novel Approach for Islanding Detection in Distributed Wind Energy Generators within Renewable Energy-Integrated Smart Grid using the 3-Parameter Sine Fit Algorithm

Misra,

Jha,

Mishra

2024

IJEER

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This paper introduces a novel islanding detection method employing the 3 Parameter Sine Fit (3PSF) algorithm, which accurately estimates the angle between voltage and current at Distributed Generators (DGs). The method improves islanding identification in a test system consisting three Wind Energy Generators (WEGs) and an Emergency Diesel Engine Generator (EDEG). To demonstrate the efficacy of suggested novel strategy, the assessment is done under variety of situations such as islanding, load shedding and distribution line loss. Furthermore, a new mathematical model is developed for load shedding and this mathematical model is validated under wide range load shedding variations. This is validated that the 3PSF technique is a potential option for accurate islanding identification. Its superior sensitivity and resilience over ROCOF are highlighted by the results, which are confirmed by MATLAB-Simulink simulations.

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Adaptive Detection of Islanding and Power Quality Disturbances in a Grid-Integrated Photovoltaic System

Cited by 14 publications

References 30 publications

Real-time detection of microgrid islanding considering sources of uncertainty using type-2 fuzzy logic and PSO algorithm

Real-time detection of microgrid islanding considering sources of uncertainty using type-2 fuzzy logic and PSO algorithm

A Review on Intelligent Detection and Classification of Power Quality Disturbances: Trends, Methodologies, and Prospects

A Novel Approach for Islanding Detection in Distributed Wind Energy Generators within Renewable Energy-Integrated Smart Grid using the 3-Parameter Sine Fit Algorithm

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