Contingency analysis and adoption of STATCOM in highly renewable energy penetrated Western Grid of Bangladesh
All the countries are in needs of renewable energy (RE) penetration into their power system. As Bangladesh power system (BPS) depends on fossil fuel by 99% of its total generation capacity, it is very much focusing on having RE. In its Western grid, it has planned to install 55 MW wind turbine gener...
| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
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Taylor & Francis Group
2022-12-01
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| Series: | Cogent Engineering |
| Subjects: | |
| Online Access: | https://www.tandfonline.com/doi/10.1080/23311916.2022.2076550 |
| _version_ | 1797720776435040256 |
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| author | Pollen Barua Ratul Barua Vineet Shekher Muhammad Quamruzzaman M.G Rabbani |
| author_facet | Pollen Barua Ratul Barua Vineet Shekher Muhammad Quamruzzaman M.G Rabbani |
| author_sort | Pollen Barua |
| collection | DOAJ |
| description | All the countries are in needs of renewable energy (RE) penetration into their power system. As Bangladesh power system (BPS) depends on fossil fuel by 99% of its total generation capacity, it is very much focusing on having RE. In its Western grid, it has planned to install 55 MW wind turbine generator (WTG) and 100 MW solar photovoltaic generator (SPVG). It is expected that the system will be upset from stability perspective. To increase the power system security, contingency analysis is needed. But the power system operation parameters are always variable, with conventional load flow method, it is impossible to carry out contingency analysis according to such variations in parameters. So, this present work adopts machine learning (ML) to predict the contingency analysis by determining the performance indices (PI) with variable operating conditions in a quick time. Decision tree (DT), random forest (RF) and extra tree (ET) methods based supervised learning will be used to predict the result for the contingency analysis. Comparison among these methods will be carried out to get the most suitable one. Also, due to RE penetration, the system will be vulnerable to voltage due to reduction in reactive power. Adoption of static synchronous compensator (STATCOM) will help to reduce the voltage stress of the system. Effective location of it is very essential, so that it can enhance the voltage stability. In this paper, modal analysis technique will be used to find out the optimal location for a STATCOM and to calculate the enhancement in stability. |
| first_indexed | 2024-03-12T09:24:30Z |
| format | Article |
| id | doaj.art-964093f9fdb5448d90e6d82607065ddd |
| institution | Directory Open Access Journal |
| issn | 2331-1916 |
| language | English |
| last_indexed | 2024-03-12T09:24:30Z |
| publishDate | 2022-12-01 |
| publisher | Taylor & Francis Group |
| record_format | Article |
| series | Cogent Engineering |
| spelling | doaj.art-964093f9fdb5448d90e6d82607065ddd2023-09-02T14:18:23ZengTaylor & Francis GroupCogent Engineering2331-19162022-12-019110.1080/23311916.2022.2076550Contingency analysis and adoption of STATCOM in highly renewable energy penetrated Western Grid of BangladeshPollen Barua0Ratul Barua1Vineet Shekher2Muhammad Quamruzzaman3M.G Rabbani4Department of Electrical and Electronic Engineering, Chittagong University of Engineering and Technology, BangladeshDepartment of Computer Science & Engineering, Port City International University, BangladeshDepartment of Electrical Engineering, BIT, Sindri, IndiaDepartment of Computer Science & Engineering, Port City International University, BangladeshDepartment of Electrical and Electronic Engineering, Eastern University, Dhaka, BangladeshAll the countries are in needs of renewable energy (RE) penetration into their power system. As Bangladesh power system (BPS) depends on fossil fuel by 99% of its total generation capacity, it is very much focusing on having RE. In its Western grid, it has planned to install 55 MW wind turbine generator (WTG) and 100 MW solar photovoltaic generator (SPVG). It is expected that the system will be upset from stability perspective. To increase the power system security, contingency analysis is needed. But the power system operation parameters are always variable, with conventional load flow method, it is impossible to carry out contingency analysis according to such variations in parameters. So, this present work adopts machine learning (ML) to predict the contingency analysis by determining the performance indices (PI) with variable operating conditions in a quick time. Decision tree (DT), random forest (RF) and extra tree (ET) methods based supervised learning will be used to predict the result for the contingency analysis. Comparison among these methods will be carried out to get the most suitable one. Also, due to RE penetration, the system will be vulnerable to voltage due to reduction in reactive power. Adoption of static synchronous compensator (STATCOM) will help to reduce the voltage stress of the system. Effective location of it is very essential, so that it can enhance the voltage stability. In this paper, modal analysis technique will be used to find out the optimal location for a STATCOM and to calculate the enhancement in stability.https://www.tandfonline.com/doi/10.1080/23311916.2022.2076550Renewable energypower system securitycontingency analysisSTATCOMmodal analysiseigenvalue |
| spellingShingle | Pollen Barua Ratul Barua Vineet Shekher Muhammad Quamruzzaman M.G Rabbani Contingency analysis and adoption of STATCOM in highly renewable energy penetrated Western Grid of Bangladesh Cogent Engineering Renewable energy power system security contingency analysis STATCOM modal analysis eigenvalue |
| title | Contingency analysis and adoption of STATCOM in highly renewable energy penetrated Western Grid of Bangladesh |
| title_full | Contingency analysis and adoption of STATCOM in highly renewable energy penetrated Western Grid of Bangladesh |
| title_fullStr | Contingency analysis and adoption of STATCOM in highly renewable energy penetrated Western Grid of Bangladesh |
| title_full_unstemmed | Contingency analysis and adoption of STATCOM in highly renewable energy penetrated Western Grid of Bangladesh |
| title_short | Contingency analysis and adoption of STATCOM in highly renewable energy penetrated Western Grid of Bangladesh |
| title_sort | contingency analysis and adoption of statcom in highly renewable energy penetrated western grid of bangladesh |
| topic | Renewable energy power system security contingency analysis STATCOM modal analysis eigenvalue |
| url | https://www.tandfonline.com/doi/10.1080/23311916.2022.2076550 |
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