Hybrid Analyzing Technique Based Active Islanding Detection for Multiple DGs

Murugesan, Suman; Murali, Venkatakirthiga

doi:10.1109/tii.2018.2846025

Cited by 52 publications

(23 citation statements)

References 30 publications

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“…The apparition of unintentional electrical islands is another problem of interest in literature due to the massification of distributed generators, particularly in weak or isolated systems and microgrids. In networks with these characteristics, wind turbines controllers must be able to detect an off-grid operation and disconnect to avoid safety hazards and damage to the electrical infrastructure [12,13]. Nowadays, there are many methods of islanding detection that can be classified into three groups: passive, active, and communication-based [14].…”

Section: Introductionmentioning

confidence: 99%

Analytical Approach to Understanding the Effects of Implementing Fast-Frequency Response by Wind Turbines on the Short-Term Operation of Power Systems

Ochoa

Martínez

2021

Energies

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The significant presence of variable-speed wind turbines in worldwide power systems has led to planners and grid operators requiring them to participate in frequency control tasks. To address this demand, a large number of wind frequency control proposals have been reported in the literature in recent years. Many of these solutions have been tested by specific experiments carried out in computer simulation environments. This paper proposes a methodology to evaluate the effects of enabling frequency support by wind turbines on the magnitudes that characterize the inertial response of a power system by using an analytical approach. The derived formulation and the illustrations are designed to provide a better understanding of both the mechanisms that determine the frequency stability indices and the improvement achieved by enabling the inertial response of wind turbines by implementing a virtual inertia-based method on the active power controllers of these machines. To facilitate the comprehension of the results obtained, the analytical approach is complemented with time-domain simulations in a predefined test system implemented in MATLAB/Simulink®. The proposed methodology achieves a generalization of the results and can be used for the assessment of any power system configuration.

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Section: Introductionmentioning

confidence: 99%

Analytical Approach to Understanding the Effects of Implementing Fast-Frequency Response by Wind Turbines on the Short-Term Operation of Power Systems

Ochoa

Martínez

2021

Energies

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“…An overview of the existing IDMs can be found in the literary works [6–8]. Many IDMs have been presented in the literature such as passive IDMs [9–11], active IDMs [12–14] and [15, 16], which are based on phase‐locked loop (PLL), impedance‐based measurements IDMs [17, 18], and hybrid IDMs [19, 20–21, 22]. Other reported techniques were used for islanding detection in DG [23–26] or in PV‐based MGs [27].…”

Section: Introductionmentioning

confidence: 99%

Hybrid islanding detection technique for single‐phase grid‐connected photovoltaic multi‐inverter systems

Barkat

Cheknane

Guerrero

et al. 2020

IET Renewable Power Generation

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This study presents the performance of a novel hybrid islanding detection method for multi‐single‐phase photovoltaic (PV) inverters based on the combination of four active methods and three passive methods. Although islanding detection in PV multi‐inverter systems has been widely researched, most islanding studies are focused on three‐phase inverters, rather than single‐phase ones. In this study, different active and passive methods are used to detect the islanding of four paralleled single‐phase PV inverters. By combining those methods synergistically, it reduces their weakness of each method, while combining their advantages. The novelty of the proposed system methodology consists of four paralleled single‐phase inverters equipped with four different active methods, namely active frequency drift, Sandia frequency shift (SFS), sliding mode frequency shift, and Sandia voltage shift triggered by a block composed of three passive methods: voltage frequency protection, rate of change of frequency, and DC‐link. This novel hybrid system is studied under different detailed scenarios, where it shows its performance and characteristics.

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“…However, the performance of the algorithm is not tested under various noisy conditions and has higher detection time. In [28], current injection-based active IDT is suggested, in which a hybrid analysing technique is used to detect the islanding of the MG with multiple and hybrid DGs. Here, only power electronics interfaced DGs are considered for islanding detection on the matrix laboratory simulation platform.…”

Section: Introductionmentioning

confidence: 99%

FPGA implementation of an Islanding detection technique for microgrid using periodic maxima of superimposed voltage components

Kumar

Pratap

2020

IET Generation, Transmission & Distribution

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Hybrid Analyzing Technique Based Active Islanding Detection for Multiple DGs

Cited by 52 publications

References 30 publications

Analytical Approach to Understanding the Effects of Implementing Fast-Frequency Response by Wind Turbines on the Short-Term Operation of Power Systems

Analytical Approach to Understanding the Effects of Implementing Fast-Frequency Response by Wind Turbines on the Short-Term Operation of Power Systems

Hybrid islanding detection technique for single‐phase grid‐connected photovoltaic multi‐inverter systems

FPGA implementation of an Islanding detection technique for microgrid using periodic maxima of superimposed voltage components

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