Controlled Islanding Strategy Considering Uncertainty of Renewable Energy Sources Based on Chance-constrained Model
Controlled islanding plays an essential role in preventing the blackout of power systems. Although there are several studies on this topic in the past, no enough attention is paid to the uncertainty brought by renewable energy sources (RESs) that may cause unpredictable unbalanced power and the obse...
| Main Authors: | , , , , , |
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| Format: | Article |
| Language: | English |
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IEEE
2022-01-01
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| Series: | Journal of Modern Power Systems and Clean Energy |
| Subjects: | |
| Online Access: | https://ieeexplore.ieee.org/document/9394932/ |
| _version_ | 1811328185569116160 |
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| author | Shengyuan Liu Tianhan Zhang Zhenzhi Lin Yilu Liu Yi Ding Li Yang |
| author_facet | Shengyuan Liu Tianhan Zhang Zhenzhi Lin Yilu Liu Yi Ding Li Yang |
| author_sort | Shengyuan Liu |
| collection | DOAJ |
| description | Controlled islanding plays an essential role in preventing the blackout of power systems. Although there are several studies on this topic in the past, no enough attention is paid to the uncertainty brought by renewable energy sources (RESs) that may cause unpredictable unbalanced power and the observability of power systems after islanding that is essential for back-up black-start measures. Therefore, a novel controlled islanding model based on mixed-integer second-order cone and chance-constrained programming (MISOCCP) is proposed to address these issues. First, the uncertainty of RESs is characterized by their possibility distribution models with chance constraints, and the requirements, e. g., system observ-ability, for rapid back-up black-start measures are also considered. Then, a law of large numbers (LLN) based method is employed for converting the chance constraints into deterministic ones and reformulating the non-convex model into convex one. Finally, case studies on the revised IEEE 39-bus and 118-bus power systems as well as the comparisons among different models are given to demonstrate the effectiveness of the proposed model. The results show that the proposed model can result in less unbalanced power and better observability after islanding compared with other models. |
| first_indexed | 2024-04-13T15:21:51Z |
| format | Article |
| id | doaj.art-14161eec3d8a4361ab99c99c6234de2b |
| institution | Directory Open Access Journal |
| issn | 2196-5420 |
| language | English |
| last_indexed | 2024-04-13T15:21:51Z |
| publishDate | 2022-01-01 |
| publisher | IEEE |
| record_format | Article |
| series | Journal of Modern Power Systems and Clean Energy |
| spelling | doaj.art-14161eec3d8a4361ab99c99c6234de2b2022-12-22T02:41:39ZengIEEEJournal of Modern Power Systems and Clean Energy2196-54202022-01-0110247148110.35833/MPCE.2020.0004119394932Controlled Islanding Strategy Considering Uncertainty of Renewable Energy Sources Based on Chance-constrained ModelShengyuan Liu0Tianhan Zhang1Zhenzhi Lin2Yilu Liu3Yi Ding4Li Yang5School of Electrical Engineering, Zhejiang University,Hangzhou,China,310027School of Electrical Engineering, Zhejiang University,Hangzhou,China,310027School of Electrical Engineering, Zhejiang University,Hangzhou,China,310027University of Tennessee,Department of Electrical Engineering and Computer Science,Knoxville,TN,USA,37996School of Electrical Engineering, Zhejiang University,Hangzhou,China,310027School of Electrical Engineering, Zhejiang University,Hangzhou,China,310027Controlled islanding plays an essential role in preventing the blackout of power systems. Although there are several studies on this topic in the past, no enough attention is paid to the uncertainty brought by renewable energy sources (RESs) that may cause unpredictable unbalanced power and the observability of power systems after islanding that is essential for back-up black-start measures. Therefore, a novel controlled islanding model based on mixed-integer second-order cone and chance-constrained programming (MISOCCP) is proposed to address these issues. First, the uncertainty of RESs is characterized by their possibility distribution models with chance constraints, and the requirements, e. g., system observ-ability, for rapid back-up black-start measures are also considered. Then, a law of large numbers (LLN) based method is employed for converting the chance constraints into deterministic ones and reformulating the non-convex model into convex one. Finally, case studies on the revised IEEE 39-bus and 118-bus power systems as well as the comparisons among different models are given to demonstrate the effectiveness of the proposed model. The results show that the proposed model can result in less unbalanced power and better observability after islanding compared with other models.https://ieeexplore.ieee.org/document/9394932/Controlled islandingsecond-order conechance-constrained programmingrenewable energy source (RES)black-startobservability |
| spellingShingle | Shengyuan Liu Tianhan Zhang Zhenzhi Lin Yilu Liu Yi Ding Li Yang Controlled Islanding Strategy Considering Uncertainty of Renewable Energy Sources Based on Chance-constrained Model Journal of Modern Power Systems and Clean Energy Controlled islanding second-order cone chance-constrained programming renewable energy source (RES) black-start observability |
| title | Controlled Islanding Strategy Considering Uncertainty of Renewable Energy Sources Based on Chance-constrained Model |
| title_full | Controlled Islanding Strategy Considering Uncertainty of Renewable Energy Sources Based on Chance-constrained Model |
| title_fullStr | Controlled Islanding Strategy Considering Uncertainty of Renewable Energy Sources Based on Chance-constrained Model |
| title_full_unstemmed | Controlled Islanding Strategy Considering Uncertainty of Renewable Energy Sources Based on Chance-constrained Model |
| title_short | Controlled Islanding Strategy Considering Uncertainty of Renewable Energy Sources Based on Chance-constrained Model |
| title_sort | controlled islanding strategy considering uncertainty of renewable energy sources based on chance constrained model |
| topic | Controlled islanding second-order cone chance-constrained programming renewable energy source (RES) black-start observability |
| url | https://ieeexplore.ieee.org/document/9394932/ |
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