Stochastic Assessment of the Impact of Distributed Synchronous Generators on Voltage Sags due to System-Wide Faults

Mbuli, Nhlanhla; Xezile, Ronald; Pretorius, J.H.C.

doi:10.23919/saiee.2020.9099494

Cited by 5 publications

(4 citation statements)

References 15 publications

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“…One of these probabilistic methods is the so-called method of fault positions. Its salient features are as follows [42]:…”

Section: Methods Of Fault Positions and The Study Of Voltage Sagmentioning

confidence: 99%

“…Bus 8 is the swing bus of the system. [42] For the purpose of calculating the number of faults per annum occurring on the lines, it is assumed that one (1) fault/km/annum occurs for 20 kV lines and 0.1 fault/km/annum occurs for 150 kV lines. Furthermore, it is assumed that the probabilities of occurrence for phase to ground faults, phase to ground faults, phase to phase to ground faults, and phase to phase faults are as are 0.8, 0.07, 0.07, and 0.06, respectively, for 150 kV lines.…”

mentioning

confidence: 99%

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Impact of Battery Energy Storage System and its Converter Characteristics on Voltage Sags

Mbuli¹,

Lichaba²,

Xezile³

et al. 2020

Preprint

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Voltage sags can cause the interruption of power supply and can negatively affect operations of customers. In this paper, the authors study the impact of battery energy storage systems (BESS) on voltage sags. A stochastic method of fault positions is used. Faults of various types are simulated and voltages are recorded. Firstly, with the BESS integrated into the network, there are higher residual voltages, fewer voltage sags and less expected critical voltage loss. Secondly, if the BESS converter power factor is reduced, recorded residual voltages are higher, voltage sags are fewer, and the number of expected critical voltage sags is lower. Finally, when three BESS converter control modes, namely constant voltage, constant power factor, and constant reactive power, were assessed, results showed similar voltage sag performances for constant power factor and constant reactive power modes. Furthermore, operating in constant voltage control outperformed the other two modes as it resulted in higher residual voltages, a lower number of voltage sags, and fewer expected critical voltage sags. The paper has demonstrated that the BESS can improve voltage sag performance. In addition, the power factor of the BESS converter and the mode of operation of the converter can influence the magnitude of the voltage sag performance improvement.

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“…One of these probabilistic methods is the so-called method of fault positions. Its salient features are as follows [42]:…”

Section: Methods Of Fault Positions and The Study Of Voltage Sagmentioning

confidence: 99%

mentioning

confidence: 99%

Impact of Battery Energy Storage System and its Converter Characteristics on Voltage Sags

Mbuli¹,

Lichaba²,

Xezile³

et al. 2020

Preprint

View full text Add to dashboard Cite

show abstract

“…Consequently, the component failure rate has greatly decreased. In general, stochastic evaluation gives a more accurate estimate of how different uncertainties related to component models and reliability affect the system [21][22][23][24][25]. The fault locations and critical distances methods are often used to predict stochastic voltage sag [26][27][28].…”

Section: Pprobmentioning

confidence: 99%

“…This system has 4 transformers, 37 lines, 6 generators, and 21 loads. The system data may be found in [24,32]. All generators have internal impedances that are j0.3, j0.2, and j0.05 for the positive, negative, and zero sequences.…”

Section: Test Systemmentioning

confidence: 99%

A Novel Approach of Voltage Sag Data Analysis Stochastically: Study, Representation, and Detection of Region of Vulnerability

et al. 2023

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A voltage sag is a major power quality problem at any load location, mainly due to short circuit faults. Its effects are especially clear in the industrial sector because they lead to direct financial losses. The first and most important step to getting rid of or at least reducing voltage sag is to find the places in the network where it can happen. So, this article discusses a creative way to find the weak spots in a network where the voltage is more likely to drop. This innovative strategy is based on correlation and a stochastic normal probability distribution. The voltage sag is evaluated using an analytical method. The method simulates the number, type, and location of faults randomly throughout the system. After gathering voltage dip data, it is analyzed using normal probability distribution and correlation concepts. The correlation concept provides the relationship between the sag frequency and other parameters, and the sag occurrence area was indicated by the normal probability distribution. After that, the region of vulnerability (ROV) is developed using the ROV flow chart. This paper uses an IEEE 30-bus RTS system as a case study to demonstrate the usefulness of the suggested strategy using MATLAB software.

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Stochastic Assessment of Voltage Sag in Unbalanced Distribution System with Distributed Generators

Ma,

Chen,

Chen

et al. 2024

Lecture Notes in Electrical Engineering

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Stochastic Assessment of the Impact of Distributed Synchronous Generators on Voltage Sags due to System-Wide Faults

Cited by 5 publications

References 15 publications

Impact of Battery Energy Storage System and its Converter Characteristics on Voltage Sags

Impact of Battery Energy Storage System and its Converter Characteristics on Voltage Sags

A Novel Approach of Voltage Sag Data Analysis Stochastically: Study, Representation, and Detection of Region of Vulnerability

Stochastic Assessment of Voltage Sag in Unbalanced Distribution System with Distributed Generators

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