Validation of Voltage Sag Simulation Tools: ATP and Short-Circuit Calculation Versus Field Measurements

Filho, Jacques Miranda; Leborgne, Roberto Chouhy; Abreu, J.P.G.; Novaes, Eder G. C.; Bollen, M.H.J.

doi:10.1109/tpwrd.2008.916752

Cited by 16 publications

(11 citation statements)

References 11 publications

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“…There is numerous energy device simulation gear [8] to be had and every simulation equipment has it very own deserve [9]. However, those widely used within the academic studies network are ATP/EMTP [10], PSCAD/EMTDC [11], MATLAB with Power System Toolbox [12][13], Power System Analysis Toolbox [14][15], Simulink with SimPowerSystems blockset [16][17][18]. In this paper, MATLAB/Simulink with SimPowerSystems blockset is chosen as simulation platform due to the fact it is broadly used in lots of universities round the sector and thus far there may be no propriety reporting a complete PQ occasion simulation in simulink models.…”

Section: Introductionmentioning

confidence: 99%

Power quality analysis based on simulation and MATLAB/Simulink

Hussein

Hawas²

2019

IJEECS

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<span>This paper in existence a complete system connected to all situations power quality event, which has been achieved using MATLAB/SIMULINK and utilizing parametric equations. In electrical energy allocation system, the disturbances of power quality have emerged as an important matter for usefulness and customers. This design incorporates distribution two capacitor bank, line fault, starting of induction motor, non-linear load and transformer energizing that are usage to simulate diverse kind of voltage sag. In simulate voltage provisional through distribution network produced as a result of effect capacitor bank switching version in the general model. For clarity, this model is advanced with an integrated block and setting in which all event situations are organized for energy quality without scarifying the gist it. This model Integrated is too beneficial to simulate different energy quality waveforms. The performance of the brand new automated categorization algorithms received are appropriate for checking waveforms of power quality.</span>

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Section: Introductionmentioning

confidence: 99%

Power quality analysis based on simulation and MATLAB/Simulink

Hussein

Hawas²

2019

IJEECS

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“…There are currently a large number of tools for simulating power supply systems. Among these, the most commonly used simulation environments in the academic environment are: the ATP version of the Electromagnetic Transients Program (EMT) simulator [1][2][3][4][5], the PSCAD (Power Systems CAD) simulator with EMTDC (Electromagnetic Transients including DC) [6][7][8][9][10], MATLAB with the Power System Toolbox [11][12][13][14][15] and the Power System Analysis Toolbox [16][17][18][19][20][21][22][23] and Simulink with SimPowerSystems [24][25][26][27][28][29][30][31][32][33][34][35][36] and Power Analysis Toolbox [37][38][39][40].…”

Section: Introductionmentioning

confidence: 99%

Modeling, Simulation and Analysis of Disturbances and Defects in Low Voltage Instalations

Botea

Marinescu

Dragoi

et al. 2019

The Scientific Bulletin of Electrical Engineering Faculty

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In this article we present some simulation models regarding the occurences that affect the quality of the electricity supplied to a low voltage consumer. We believe that these will offer to the researcher the opportunity to simulate power quality deviations in different energy system models, thus providing a picture regarding the way those deviations propagate and behave, creating a few basic patterns for studying the energy quality, also taking into consideration the limitations of the system in respect to the software used and the human factor performing the research.

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“…[13][14][15] The stochastic method is based on probabilistic method which includes critical distance of fault position. 16,17 The critical distance method is applicable for radial network and based on potential divider concept. The fault position method is suitable for large meshed network.…”

Section: Introductionmentioning

confidence: 99%

“…For fast assessment of voltage sag and reducing complexity in terms of amount of calculation in fault position method, analytical method is suggested in the literature. 16,17 Monte Carlo method is a simulationbased numerical method for evaluation of expected number of sag by modeling random variables. The fault position method can provide long-term mean values of expected sag performance whereas Monte Carlo method can provide complete frequency distribution.…”

Section: Introductionmentioning

confidence: 99%

Stochastic evaluation of voltage sag in power system network considering effect of photovoltaic generation

Khatri¹,

Kumar

Bansal

et al. 2018

Int Trans Electr Energ Syst

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Summary The present scenario need is to integrate renewable energy sources (RESs) with power grid to address the increasing concerns of environmental issues and energy demand. Apart from renewable energy integration, the quality of power delivered is also important. Among all power quality issues, the most common power quality issue is voltage sag which significantly affects industrial, commercial, and domestic users. This paper estimates the frequency of voltage sag using analytical method. This paper also analyses the change in frequency of occurrence of voltage sag when power system network is integrated with photovoltaic system. This stochastic evaluation of voltage sag is performed for 30‐bus IEEE subtransmission system. The voltage sags are evaluated at various observation buses with and without integration of photovoltaic generation. The numbers of photovoltaic generating plant are increased in order to observe variation in frequency of occurrence of voltage sag. The results are presented in terms of frequency of occurrence of voltage sag and area of vulnerability for transmission network.

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Validation of Voltage Sag Simulation Tools: ATP and Short-Circuit Calculation Versus Field Measurements

Cited by 16 publications

References 11 publications

Power quality analysis based on simulation and MATLAB/Simulink

Power quality analysis based on simulation and MATLAB/Simulink

Modeling, Simulation and Analysis of Disturbances and Defects in Low Voltage Instalations

Stochastic evaluation of voltage sag in power system network considering effect of photovoltaic generation

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