Prediction of operating conditions of the power system considering reactive power limits of generators and dynamic voltage stability margin by using neural network
In power system, dynamic voltage stability margin corresponding with hopf bifurcation (HB) and reactive power limit of generators, As the two basic concepts in power system operation are defined in terms of voltage stability. Occurrence of HB, leads to oscillatory problem with constant or incrementa...
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| Format: | Article |
| Language: | fas |
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Semnan University
2017-12-01
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| Series: | مجله مدل سازی در مهندسی |
| Subjects: | |
| Online Access: | https://modelling.semnan.ac.ir/article_2850_81d2100a55e118d45191ce27f2c77bba.pdf |
| _version_ | 1797296582157139968 |
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| author | Issa Khajevandi Nima Amjady Mohammad Hossein Velayati |
| author_facet | Issa Khajevandi Nima Amjady Mohammad Hossein Velayati |
| author_sort | Issa Khajevandi |
| collection | DOAJ |
| description | In power system, dynamic voltage stability margin corresponding with hopf bifurcation (HB) and reactive power limit of generators, As the two basic concepts in power system operation are defined in terms of voltage stability. Occurrence of HB, leads to oscillatory problem with constant or incremental amplitude in power system. Moreover, occurrence reactive power limit of generators, have a significant effect on power system stability and therefore reduce voltage stability margin or some times leads to voltage collapse occurrence. Therefore, knowledge of relation between operational point of power system and defined margins is very important for network operators to provide corrective and preventive strategies. Accordingly, the use of forecasting tools for the determination and prediction of the operating condition of the power system based on the defined margins is essential. In this paper, to prediction of operating condition of power system, a new classification based on the defined limits is proposed. The proposed algorithm is examined on the IEEE 39 and 68 buses test systems. |
| first_indexed | 2024-03-07T22:06:51Z |
| format | Article |
| id | doaj.art-16deab56e1714ba999256c5d57b2cdbe |
| institution | Directory Open Access Journal |
| issn | 2008-4854 2783-2538 |
| language | fas |
| last_indexed | 2024-03-07T22:06:51Z |
| publishDate | 2017-12-01 |
| publisher | Semnan University |
| record_format | Article |
| series | مجله مدل سازی در مهندسی |
| spelling | doaj.art-16deab56e1714ba999256c5d57b2cdbe2024-02-23T19:04:43ZfasSemnan Universityمجله مدل سازی در مهندسی2008-48542783-25382017-12-01155134135010.22075/jme.2017.28502850Prediction of operating conditions of the power system considering reactive power limits of generators and dynamic voltage stability margin by using neural networkIssa Khajevandi0Nima Amjady1Mohammad Hossein Velayati2دانشگاه سمناندانشگاه سمناندانشگاه سمنانIn power system, dynamic voltage stability margin corresponding with hopf bifurcation (HB) and reactive power limit of generators, As the two basic concepts in power system operation are defined in terms of voltage stability. Occurrence of HB, leads to oscillatory problem with constant or incremental amplitude in power system. Moreover, occurrence reactive power limit of generators, have a significant effect on power system stability and therefore reduce voltage stability margin or some times leads to voltage collapse occurrence. Therefore, knowledge of relation between operational point of power system and defined margins is very important for network operators to provide corrective and preventive strategies. Accordingly, the use of forecasting tools for the determination and prediction of the operating condition of the power system based on the defined margins is essential. In this paper, to prediction of operating condition of power system, a new classification based on the defined limits is proposed. The proposed algorithm is examined on the IEEE 39 and 68 buses test systems.https://modelling.semnan.ac.ir/article_2850_81d2100a55e118d45191ce27f2c77bba.pdfhopf bifurcationlimit induced dynamic bifurcation (lidb)generator reactive power limitneural network |
| spellingShingle | Issa Khajevandi Nima Amjady Mohammad Hossein Velayati Prediction of operating conditions of the power system considering reactive power limits of generators and dynamic voltage stability margin by using neural network مجله مدل سازی در مهندسی hopf bifurcation limit induced dynamic bifurcation (lidb) generator reactive power limit neural network |
| title | Prediction of operating conditions of the power system considering reactive power limits of generators and dynamic voltage stability margin by using neural network |
| title_full | Prediction of operating conditions of the power system considering reactive power limits of generators and dynamic voltage stability margin by using neural network |
| title_fullStr | Prediction of operating conditions of the power system considering reactive power limits of generators and dynamic voltage stability margin by using neural network |
| title_full_unstemmed | Prediction of operating conditions of the power system considering reactive power limits of generators and dynamic voltage stability margin by using neural network |
| title_short | Prediction of operating conditions of the power system considering reactive power limits of generators and dynamic voltage stability margin by using neural network |
| title_sort | prediction of operating conditions of the power system considering reactive power limits of generators and dynamic voltage stability margin by using neural network |
| topic | hopf bifurcation limit induced dynamic bifurcation (lidb) generator reactive power limit neural network |
| url | https://modelling.semnan.ac.ir/article_2850_81d2100a55e118d45191ce27f2c77bba.pdf |
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