Probability Density Functions of Voltage Sags Measured Indices

Klaić, Zvonimir; Šljivac, Damir; Baus, Zoran

doi:10.2478/v10187-011-0053-8

Cited by 6 publications

(6 citation statements)

References 5 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…To define the method for real-time (online) prediction of the probability of the voltage sag duration (RTPP), the authors analyzed various measurement results presented in the literature [3], [40], [54][55][56]. As the most convenient, the available set of real-grid measurement data, measured at different voltage levels and in different distribution grids, containing 680 recordings, out of which 95 were voltage sags, was selected for further analysis.…”

Section: A Real-grid Measurement Results Analysismentioning

confidence: 99%

“…Another approach is to use the recorded voltage sag data obtained from long-term measurements in a real grid. After statistical analysis, the sags´ duration and magnitude distributions, and the probability distribution functions were obtained [54][55][56][57]. Recently, such an approach has been used to develop a stochastic model for forecasting voltage sags in a real grid [58][59][60][61].…”

Section: Literature Overview Of Voltage Sags Prediction Methodsmentioning

confidence: 99%

See 1 more Smart Citation

A Method for Real-Time Prediction of the Probability of Voltage Sag Duration Based on Harmonic Footprint

2022

View full text Add to dashboard Cite

show abstract

Section: A Real-grid Measurement Results Analysismentioning

confidence: 99%

Section: Literature Overview Of Voltage Sags Prediction Methodsmentioning

confidence: 99%

A Method for Real-Time Prediction of the Probability of Voltage Sag Duration Based on Harmonic Footprint

2022

View full text Add to dashboard Cite

show abstract

“…• The probability of s to affect the power grid is evaluated as 1/Ns, where Ns is number of short circuits simulated. due to s can be obtained from (5).…”

Section: Prosed Methodology For Estimating Annual Voltage Sags Interr...mentioning

confidence: 99%

“…In turn, voltage sag duration (dsag) depends on the fault clearance process and mostly on the protection schemes performance. The prediction of dsag is treated in the literature using fixed values or probability distribution functions (e.g., normal [4], lognormal, Weibull [5], etc.) to represent the fault clearance time.…”

Section: Introductionmentioning

confidence: 99%

A Novel Methodology to Estimate Probability Density Function of Voltage Sag Duration and Failure Rates on Power Distribution Systems

et al. 2023

View full text Add to dashboard Cite

Voltage sags and power interruptions are important power quality problems that affect sensitive customers, mainly because they cause annual massive economical losses to the industrial sector as a result of unexpected production process disruptions. In this sense, to propose corrective and preventive measures and improve the power quality of distribution systems, stochastic methodologies have been proposed in the literature to estimate annual voltage sags and power interruptions. However, these methodologies generally use typical cumulative distribution functions of voltage sag duration (PSgD), which can not reflect the real estate of the network under study. To solve this constraint, this paper proposes a novel methodology to estimate a proper PSgD considering the information of the distribution network (i.e., topology and coordination schemes of the protection system) and the stochastic behaviors of short-circuits that can affect the distribution system. Moreover, the proposed methodology allows estimating permanent failure rates and average repair time considering known or expected values of reliability indicators. The results show that the proposed methodology is capable to adapt from an initial PSgD curve to another one with fidelity to achieve real values of expected annual power interruptions.

show abstract

“…Namely, each transmission line, transformer or switch that works in the system has its thermal limitations that restrict the maximum allowed current that flows through them. Since the basic customer's requirement is nominal voltage of, for example 230 V, 50 Hz, the power supply companies have to be able to ensure the voltage level at every bus of the system for all customers according to EN 50160 [7,8,9]. Such constraints in each phase p, on every bus i can be displayed as:…”

Section: Technical Constraintsmentioning

confidence: 99%

Optimization of switching conditions in distribution power subsystem

2015

Teh. vjesn.

View full text Add to dashboard Cite

Original scientific paper To improve function of distribution power subsystem, systematic researches of optimization methods based on modern analytic techniques, have been performed recently. Therefore, several specialized algorithms for power flow and power losses calculations in electric distribution subsystem are developed. Distribution power subsystem 10 kV with 212 buses and 72 switches is analysed in this paper. Stochastic optimization based on simulated annealing method is applied. The aim of analysis is to determine the optimal network switching condition of minimum losses, with the precondition of keeping the stable voltages on all buses. Simulations are performed for two initial configurations with different initial annealing temperatures and cooling speeds. All parameters of distribution network components have constant values. The results show that the obtained solutions are with better efficiency than those that are chosen initially.Keywords: distribution power subsystem; power losses; simulated annealing; system optimization; switching conditions Optimizacija uklopnog stanja u distribucijskom elektroenergetskom sustavuIzvorni znanstveni članak U novije vrijeme se vrše sustavna istraživanja optimizacijskih metoda korištenjem suvremenih analitičkih tehnika radi unaprjeđenja funkcije distribucijskog elektroenergetskog sustava. Stoga je razvijeno više specijaliziranih algoritama za proračun tokova snaga i određivanje gubitaka u distribucijskom sustavu. U ovom radu je analizirana 10 kV distributivna mreža s 212 čvorova i 72 rastavljača. Analiza je provedena primjenom stohastičke optimizacijske metode, odnosno metode simuliranog kaljenja. Cilj istraživanja je određivanje optimalnog uklopnog stanja mreže uz najmanje gubitke, uz zadržavanje stabilnog napona na svim sabirnicama. Simulacije su izvedene za dvije početne konfiguracije s različitim početnim temperaturama kaljenja i brzinama hlađenja. Svi parametri komponenata distribucijske mreže imaju konstantne vrijednosti. Rezultati pokazuju da su dobivena rješenja učinkovitija od početno odabranih.

show abstract

Probability Density Functions of Voltage Sags Measured Indices

Cited by 6 publications

References 5 publications

A Method for Real-Time Prediction of the Probability of Voltage Sag Duration Based on Harmonic Footprint

A Method for Real-Time Prediction of the Probability of Voltage Sag Duration Based on Harmonic Footprint

A Novel Methodology to Estimate Probability Density Function of Voltage Sag Duration and Failure Rates on Power Distribution Systems

Optimization of switching conditions in distribution power subsystem

Contact Info

Product

Resources

About