Evaluation Method and Probabilistic Index of Voltage Sag Severity Considering Point-on-wave

Gao, Wu; Zhong, Qing; He, Qi; Xu, Zhong

doi:10.35833/mpce.2019.000470

Cited by 5 publications

(3 citation statements)

References 12 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…For each sag event, select the weight coefficient through equations ( 6) and (7) According to formula (9), the severity of each sag event is described by region The sag events in the uncertain area are classified according to formulas ( 10) and (11) From equation ( 15), the improved energy index of each sag event considering the type of sag is obtained Sort the severity by formulas ( 16)- (18) Whether it is a single node that sags…”

Section: Endmentioning

confidence: 99%

“…The sag energy index E vs considers the characteristics of the sag amplitude, duration, and sag waveform, and quantitatively analyzes the voltage sag. Due to the compatibility and universality of E vs , it has attracted widespread attention [10][11][12]. In reference [13], the graphical method is used to determine the voltage energy loss under an asymmetric sag, which can both present the evaluation results intuitively and quickly and evaluate the magnitude of comparison more easily.…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

A Voltage Sag Severity Evaluation Method for the System Side Which Considers the Influence of the Voltage Tolerance Curve and Sag Type

Fan

Deng

et al. 2021

Energies

View full text Add to dashboard Cite

Considering the influence of user equipment voltage tolerance characteristics and sag types on the evaluation results, this paper proposes a voltage sag severity evaluation method for the system side which considers the influence of the voltage tolerance curve and sag type. As such, a quantitative evaluation of the severity of voltage sag events can be achieved. Firstly, the user’s voltage tolerance curve is used to construct the comparison reference value of the energy index, in order to realize the rapid analysis of the severity of the sag event in the normal area and the abnormal area. Secondly, aiming at the problem of insufficient descriptions of the severity difference of sag events in uncertain areas, an improved energy index evaluation model combined with user tolerance characteristics is established through an interval division and interval weight calculation, so as to divide and evaluate the severity of sag events in uncertain areas. Considering the influence of the sag type on the voltage tolerance curve and user equipment, the energy index correction factor is then constructed, and the measurement function is used for an interval evaluation to obtain the ranking result of the voltage sag severity, which is more in line with the actual situation. Finally, the rationality and effectiveness of the proposed method are verified by analyzing 24 voltage sag events at a monitoring node.

show abstract

Section: Endmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

A Voltage Sag Severity Evaluation Method for the System Side Which Considers the Influence of the Voltage Tolerance Curve and Sag Type

Fan

Deng

et al. 2021

Energies

View full text Add to dashboard Cite

show abstract

“…In order to evaluate voltage sag, a wide range of influential factors must be considered. For this reason, this paper establishes a multi-side index system that divides the influence factors into three groups (i.e., the source side, the network side, and the load side), as shown in Figure 1 [14,15]. and introduces user satisfaction into the evaluation criteria of voltage sag severity.…”

Section: Establishment Of Multi-side Index Systemmentioning

confidence: 99%

A Comprehensive Weight-Based Severity Evaluation Method of Voltage Sag in Distribution Networks

Guo

Wang

et al. 2021

Energies

View full text Add to dashboard Cite

With the increasing use of sensitive loads in frequency converters and in relays in distribution networks, voltage sag has become a major power quality issue that urgently needs to be solved. For the purpose of improving the understanding of voltage sag severity in distribution networks, a comprehensive weight-based severity evaluation method of voltage sag is presented in this paper. First, a multi-side index system that takes into account the combined influence of the source, network, and the load is established. A comprehensive weight method, which combines the improved analytic hierarchy process (IAHP) and the entropy method, is then adopted to determine the index weight. The weight of each index and the degree of superiority are linearly weighted to obtain the severity of voltage sag at different observation points. Finally, the effectiveness of the proposed method is verified using a distribution network model established in DIgSILENT PowerFactory (15.1.7, Gomaringen, Germany).

show abstract

Disturbance dataset development for machine-learning-based power quality monitoring in distributed generation systems: a practical guide

Robles¹,

Espejo²,

Segundo³

et al. 2023

Monitoring and Control of Electrical Power Systems Using Machine Learning Techniques

View full text Add to dashboard Cite

Evaluation Method and Probabilistic Index of Voltage Sag Severity Considering Point-on-wave

Cited by 5 publications

References 12 publications

A Voltage Sag Severity Evaluation Method for the System Side Which Considers the Influence of the Voltage Tolerance Curve and Sag Type

A Voltage Sag Severity Evaluation Method for the System Side Which Considers the Influence of the Voltage Tolerance Curve and Sag Type

A Comprehensive Weight-Based Severity Evaluation Method of Voltage Sag in Distribution Networks

Disturbance dataset development for machine-learning-based power quality monitoring in distributed generation systems: a practical guide

Contact Info

Product

Resources

About