Analyzing Six Indices for Online Short-Term Voltage Stability Monitoring in Power Systems
In recent years, the importance of online monitoring short-term voltage stability has been considerably increased. Unstable cases due to response of fast dynamic loads such as induction motors to the serious disturbances can be avoided by online monitoring of voltage transients and activating fast a...
| Main Authors: | , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
MDPI AG
2020-06-01
|
| Series: | Applied Sciences |
| Subjects: | |
| Online Access: | https://www.mdpi.com/2076-3417/10/12/4200 |
| _version_ | 1797564815305080832 |
|---|---|
| author | Milad Aslanian Mohammad Esmaeil Hamedani-Golshan Hassan Haes Alhelou Pierluigi Siano |
| author_facet | Milad Aslanian Mohammad Esmaeil Hamedani-Golshan Hassan Haes Alhelou Pierluigi Siano |
| author_sort | Milad Aslanian |
| collection | DOAJ |
| description | In recent years, the importance of online monitoring short-term voltage stability has been considerably increased. Unstable cases due to response of fast dynamic loads such as induction motors to the serious disturbances can be avoided by online monitoring of voltage transients and activating fast and appropriate controls to encounter deep and prolonged voltage drop. In this paper, a set of indices based on the phasor measurement unit (PMU) measurements are introduced and compared for short-term voltage stability. To increase efficiency of the indices, a special algorithm for each index is proposed by using the investigation of the results of applying them to six disturbances’ scenarios simulated on the IEEE 39 bus system. The disturbance scenarios are representative of different cases of stable, unstable, and deep and prolonged voltage drop associated with short-term voltage transients. The performance of these indices are studied in terms of the time and accuracy required for determining the short-term voltage stability/instability cases. It is shown that the proposed method has better performance in comparison with other techniques that can be applied to power systems in reality. |
| first_indexed | 2024-03-10T19:03:18Z |
| format | Article |
| id | doaj.art-83f8249969324f5986c2e1e556d48e7e |
| institution | Directory Open Access Journal |
| issn | 2076-3417 |
| language | English |
| last_indexed | 2024-03-10T19:03:18Z |
| publishDate | 2020-06-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Applied Sciences |
| spelling | doaj.art-83f8249969324f5986c2e1e556d48e7e2023-11-20T04:18:25ZengMDPI AGApplied Sciences2076-34172020-06-011012420010.3390/app10124200Analyzing Six Indices for Online Short-Term Voltage Stability Monitoring in Power SystemsMilad Aslanian0Mohammad Esmaeil Hamedani-Golshan1Hassan Haes Alhelou2Pierluigi Siano3Department of Electrical and Computer Engineering, Isfahan University of Technology, Isfahan 84156-83111, IranDepartment of Electrical and Computer Engineering, Isfahan University of Technology, Isfahan 84156-83111, IranDepartment of Electrical and Computer Engineering, Isfahan University of Technology, Isfahan 84156-83111, IranDepartment of Management & Innovation Systems, University of Salerno, 84084 Fisciano (SA), ItalyIn recent years, the importance of online monitoring short-term voltage stability has been considerably increased. Unstable cases due to response of fast dynamic loads such as induction motors to the serious disturbances can be avoided by online monitoring of voltage transients and activating fast and appropriate controls to encounter deep and prolonged voltage drop. In this paper, a set of indices based on the phasor measurement unit (PMU) measurements are introduced and compared for short-term voltage stability. To increase efficiency of the indices, a special algorithm for each index is proposed by using the investigation of the results of applying them to six disturbances’ scenarios simulated on the IEEE 39 bus system. The disturbance scenarios are representative of different cases of stable, unstable, and deep and prolonged voltage drop associated with short-term voltage transients. The performance of these indices are studied in terms of the time and accuracy required for determining the short-term voltage stability/instability cases. It is shown that the proposed method has better performance in comparison with other techniques that can be applied to power systems in reality.https://www.mdpi.com/2076-3417/10/12/4200voltage stability indexshort-term instabilityreal-time monitoringPMU |
| spellingShingle | Milad Aslanian Mohammad Esmaeil Hamedani-Golshan Hassan Haes Alhelou Pierluigi Siano Analyzing Six Indices for Online Short-Term Voltage Stability Monitoring in Power Systems Applied Sciences voltage stability index short-term instability real-time monitoring PMU |
| title | Analyzing Six Indices for Online Short-Term Voltage Stability Monitoring in Power Systems |
| title_full | Analyzing Six Indices for Online Short-Term Voltage Stability Monitoring in Power Systems |
| title_fullStr | Analyzing Six Indices for Online Short-Term Voltage Stability Monitoring in Power Systems |
| title_full_unstemmed | Analyzing Six Indices for Online Short-Term Voltage Stability Monitoring in Power Systems |
| title_short | Analyzing Six Indices for Online Short-Term Voltage Stability Monitoring in Power Systems |
| title_sort | analyzing six indices for online short term voltage stability monitoring in power systems |
| topic | voltage stability index short-term instability real-time monitoring PMU |
| url | https://www.mdpi.com/2076-3417/10/12/4200 |
| work_keys_str_mv | AT miladaslanian analyzingsixindicesforonlineshorttermvoltagestabilitymonitoringinpowersystems AT mohammadesmaeilhamedanigolshan analyzingsixindicesforonlineshorttermvoltagestabilitymonitoringinpowersystems AT hassanhaesalhelou analyzingsixindicesforonlineshorttermvoltagestabilitymonitoringinpowersystems AT pierluigisiano analyzingsixindicesforonlineshorttermvoltagestabilitymonitoringinpowersystems |