Sensitivity of Voltage Sags Estimation to Uncertainties
Voltage sags are power quality disturbances mainly caused by faults with a highly random nature. For this reason, the severity and frequency of occurrence of voltage sags is typically analyzed by means of probabilistic methods, such as Monte Carlo simulations, where different probability distributio...
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| Format: | Article |
| Language: | English |
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IEEE
2023-01-01
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| Series: | IEEE Access |
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| Online Access: | https://ieeexplore.ieee.org/document/10049428/ |
| _version_ | 1811160974229504000 |
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| author | Xavier Zambrano Araceli Hernandez Eduardo Caro Pablo Rodriguez-Pajaron Rosa M. de Castro |
| author_facet | Xavier Zambrano Araceli Hernandez Eduardo Caro Pablo Rodriguez-Pajaron Rosa M. de Castro |
| author_sort | Xavier Zambrano |
| collection | DOAJ |
| description | Voltage sags are power quality disturbances mainly caused by faults with a highly random nature. For this reason, the severity and frequency of occurrence of voltage sags is typically analyzed by means of probabilistic methods, such as Monte Carlo simulations, where different probability distributions are selected to model the uncertain inputs (e.g., fault impedance, fault location, fault rate, etc.). The selection and parameterization of the appropriate probability functions involves many difficulties to ensure that they represent the distribution of input variables in a realistic way and so, many different approaches can be found in literature. This paper studies the sensitivity of voltage sags severity to the uncertainty in the input models in order to focus modeling effort on the input variables that are more critical and effectively have an influence on voltage sags levels, whereas non-influential parameters can be neglected or modeled by means of simplified hypothesis. The method proposed is based on Design of Experiments and Analysis of Variance (ANOVA) and is able to discriminate with a statistic confidence level whether the uncertainty in the input significantly affects voltage sags severity indices or not. The effect of uncertainty on voltage sags indices SARFI90 and SARFI70 has been evaluated in realistic scenarios for IEEE test networks of 24 and 118 buses and in the power system of Ecuador with 357 nodes. General trends have been also established that help to understand the effect of the modeling of input parameters on the estimated number of sags. |
| first_indexed | 2024-04-10T06:06:49Z |
| format | Article |
| id | doaj.art-f7157b91f66049e6bbc5510ebbbe0f97 |
| institution | Directory Open Access Journal |
| issn | 2169-3536 |
| language | English |
| last_indexed | 2024-04-10T06:06:49Z |
| publishDate | 2023-01-01 |
| publisher | IEEE |
| record_format | Article |
| series | IEEE Access |
| spelling | doaj.art-f7157b91f66049e6bbc5510ebbbe0f972023-03-03T00:00:15ZengIEEEIEEE Access2169-35362023-01-0111182151822610.1109/ACCESS.2023.324718810049428Sensitivity of Voltage Sags Estimation to UncertaintiesXavier Zambrano0Araceli Hernandez1https://orcid.org/0000-0003-4134-1066Eduardo Caro2Pablo Rodriguez-Pajaron3https://orcid.org/0000-0002-3967-8148Rosa M. de Castro4https://orcid.org/0000-0002-2143-1155Facultad de Ingeniería en Electricidad y Computación, Escuela Superior Politécnica del Litoral, Guayaquil, EcuadorEscuela Técnica Superior de Ingenieros Industriales, Universidad Politécnica de Madrid, Madrid, SpainEscuela Técnica Superior de Ingenieros Industriales, Universidad Politécnica de Madrid, Madrid, SpainEscuela Técnica Superior de Ingenieros Industriales, Universidad Politécnica de Madrid, Madrid, SpainEscuela Técnica Superior de Ingenieros Industriales, Universidad Politécnica de Madrid, Madrid, SpainVoltage sags are power quality disturbances mainly caused by faults with a highly random nature. For this reason, the severity and frequency of occurrence of voltage sags is typically analyzed by means of probabilistic methods, such as Monte Carlo simulations, where different probability distributions are selected to model the uncertain inputs (e.g., fault impedance, fault location, fault rate, etc.). The selection and parameterization of the appropriate probability functions involves many difficulties to ensure that they represent the distribution of input variables in a realistic way and so, many different approaches can be found in literature. This paper studies the sensitivity of voltage sags severity to the uncertainty in the input models in order to focus modeling effort on the input variables that are more critical and effectively have an influence on voltage sags levels, whereas non-influential parameters can be neglected or modeled by means of simplified hypothesis. The method proposed is based on Design of Experiments and Analysis of Variance (ANOVA) and is able to discriminate with a statistic confidence level whether the uncertainty in the input significantly affects voltage sags severity indices or not. The effect of uncertainty on voltage sags indices SARFI90 and SARFI70 has been evaluated in realistic scenarios for IEEE test networks of 24 and 118 buses and in the power system of Ecuador with 357 nodes. General trends have been also established that help to understand the effect of the modeling of input parameters on the estimated number of sags.https://ieeexplore.ieee.org/document/10049428/Analysis of variancedesign of experimentssensitivity analysispower qualityuncertaintyvoltage sag |
| spellingShingle | Xavier Zambrano Araceli Hernandez Eduardo Caro Pablo Rodriguez-Pajaron Rosa M. de Castro Sensitivity of Voltage Sags Estimation to Uncertainties IEEE Access Analysis of variance design of experiments sensitivity analysis power quality uncertainty voltage sag |
| title | Sensitivity of Voltage Sags Estimation to Uncertainties |
| title_full | Sensitivity of Voltage Sags Estimation to Uncertainties |
| title_fullStr | Sensitivity of Voltage Sags Estimation to Uncertainties |
| title_full_unstemmed | Sensitivity of Voltage Sags Estimation to Uncertainties |
| title_short | Sensitivity of Voltage Sags Estimation to Uncertainties |
| title_sort | sensitivity of voltage sags estimation to uncertainties |
| topic | Analysis of variance design of experiments sensitivity analysis power quality uncertainty voltage sag |
| url | https://ieeexplore.ieee.org/document/10049428/ |
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