Optimal Multi Load Shedding for Voltage Security Control in Bulk Power System
Computer programming; Electric power plant loads; Electric power system control; Electric power system security; Optimization; Stability; Load-shedding; Maximum permissible load; Optimization techniques; Power; Security controls; Stability indices; Under-voltage load shedding; Voltage collapse; Volt...
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Institute of Electrical and Electronics Engineers Inc.
2023
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my.uniten.dspace-270332023-05-29T17:38:52Z Optimal Multi Load Shedding for Voltage Security Control in Bulk Power System Abd Shukor S.F. Musirin I. Hamid Z.A. Mansor M.H. Sentilkumar A.V. Abd Samat A.A. 57542285600 8620004100 36559455000 56372667100 58068868900 57928129000 Computer programming; Electric power plant loads; Electric power system control; Electric power system security; Optimization; Stability; Load-shedding; Maximum permissible load; Optimization techniques; Power; Security controls; Stability indices; Under-voltage load shedding; Voltage collapse; Voltage security; Voltage stability analysis; Electric load shedding The unexpected progressing demand in most power system in the world has led to voltage decay phenomenon. This leads the system to operate below the acceptable voltage limit. Under voltage load shedding (UVLS) has been acceptably recognized as the suitable remedial action to alleviate the voltage decay, which consequently causes voltage insecurity condition. Nevertheless, UVLS is the last option. Thus, a robust optimization technique would be the pre-requisite to optimal location and sizing to ensure a reliable and effective approach; without having to victimize the prioritized areas. This paper presents an optimal UVLS using a newly develop optimization technique termed as Integrated Chaotic Clonal Jaya Evolutionary Programming (ICCJEP). This study addresses a pre-developed voltage stability index as the indicator to voltage security improvement, which needs to be minimized. Validation under several combinations of UVLS schemes on the IEEE 30- Bus RTS indicated that the optimal UVLS can improve voltage security in power system indicated by the reduction of FVSI value as the index. � 2022 IEEE. Final 2023-05-29T09:38:52Z 2023-05-29T09:38:52Z 2022 Conference Paper 10.1109/PECon54459.2022.9988914 2-s2.0-85146438824 https://www.scopus.com/inward/record.uri?eid=2-s2.0-85146438824&doi=10.1109%2fPECon54459.2022.9988914&partnerID=40&md5=f7ec7cfe231e9dc17dd47e3565eafc71 https://irepository.uniten.edu.my/handle/123456789/27033 448 453 Institute of Electrical and Electronics Engineers Inc. Scopus |
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| description |
Computer programming; Electric power plant loads; Electric power system control; Electric power system security; Optimization; Stability; Load-shedding; Maximum permissible load; Optimization techniques; Power; Security controls; Stability indices; Under-voltage load shedding; Voltage collapse; Voltage security; Voltage stability analysis; Electric load shedding |
| author2 |
57542285600 |
| author_facet |
57542285600 Abd Shukor S.F. Musirin I. Hamid Z.A. Mansor M.H. Sentilkumar A.V. Abd Samat A.A. |
| format |
Conference Paper |
| author |
Abd Shukor S.F. Musirin I. Hamid Z.A. Mansor M.H. Sentilkumar A.V. Abd Samat A.A. |
| spellingShingle |
Abd Shukor S.F. Musirin I. Hamid Z.A. Mansor M.H. Sentilkumar A.V. Abd Samat A.A. Optimal Multi Load Shedding for Voltage Security Control in Bulk Power System |
| author_sort |
Abd Shukor S.F. |
| title |
Optimal Multi Load Shedding for Voltage Security Control in Bulk Power System |
| title_short |
Optimal Multi Load Shedding for Voltage Security Control in Bulk Power System |
| title_full |
Optimal Multi Load Shedding for Voltage Security Control in Bulk Power System |
| title_fullStr |
Optimal Multi Load Shedding for Voltage Security Control in Bulk Power System |
| title_full_unstemmed |
Optimal Multi Load Shedding for Voltage Security Control in Bulk Power System |
| title_sort |
optimal multi load shedding for voltage security control in bulk power system |
| publisher |
Institute of Electrical and Electronics Engineers Inc. |
| publishDate |
2023 |
| _version_ |
1806427700363001856 |
| score |
13.214268 |