A Rolling Horizon Optimization Framework for Resilient Restoration of Active Distribution Systems
Network reconfiguration is an effective way to avoid severe, large-scale power outages and to improve the resilience of active distribution networks (ADNs). Furthermore, the rapid development of distributed energy resources (DERs) provides new perspectives for network reconfiguration. In this paper,...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
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MDPI AG
2022-04-01
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| Series: | Energies |
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| Online Access: | https://www.mdpi.com/1996-1073/15/9/3096 |
| _version_ | 1797505051841789952 |
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| author | Ning Xin Laijun Chen Linrui Ma Yang Si |
| author_facet | Ning Xin Laijun Chen Linrui Ma Yang Si |
| author_sort | Ning Xin |
| collection | DOAJ |
| description | Network reconfiguration is an effective way to avoid severe, large-scale power outages and to improve the resilience of active distribution networks (ADNs). Furthermore, the rapid development of distributed energy resources (DERs) provides new perspectives for network reconfiguration. In this paper, the effect of network reconfiguration and DER collaboration on ADN’s resilient restoration are studied. The applications of DERs are fully explored. In order to achieve a better resilient performance, a detailed multiperiod model considering both reconfiguration and multiple DERs is established. Some linearization techniques are used to simplify the proposed model. Then, we build a rolling horizon optimization framework to solve the model. The framework eliminates the adverse effect of prediction errors and speeds up the calculation. By introducing predictions into strategy determination, the framework achieves a better restoration effect than the traditional greedy method. The proposed framework is tested on a 33-bus system. The simulations verify the efficiency of our work. |
| first_indexed | 2024-03-10T04:13:10Z |
| format | Article |
| id | doaj.art-805a3fe8916c4d07b3c3e6f14ff09311 |
| institution | Directory Open Access Journal |
| issn | 1996-1073 |
| language | English |
| last_indexed | 2024-03-10T04:13:10Z |
| publishDate | 2022-04-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Energies |
| spelling | doaj.art-805a3fe8916c4d07b3c3e6f14ff093112023-11-23T08:06:29ZengMDPI AGEnergies1996-10732022-04-01159309610.3390/en15093096A Rolling Horizon Optimization Framework for Resilient Restoration of Active Distribution SystemsNing Xin0Laijun Chen1Linrui Ma2Yang Si3College of Water Resources and Electric Power, Qinghai University, Xining 810016, ChinaQinghai Key Laboratory of Efficient Utilization of Clean Energy, Tus-Institute for Renewable Energy, Qinghai University, Xining 810016, ChinaQinghai Key Laboratory of Efficient Utilization of Clean Energy, Tus-Institute for Renewable Energy, Qinghai University, Xining 810016, ChinaQinghai Key Laboratory of Efficient Utilization of Clean Energy, Tus-Institute for Renewable Energy, Qinghai University, Xining 810016, ChinaNetwork reconfiguration is an effective way to avoid severe, large-scale power outages and to improve the resilience of active distribution networks (ADNs). Furthermore, the rapid development of distributed energy resources (DERs) provides new perspectives for network reconfiguration. In this paper, the effect of network reconfiguration and DER collaboration on ADN’s resilient restoration are studied. The applications of DERs are fully explored. In order to achieve a better resilient performance, a detailed multiperiod model considering both reconfiguration and multiple DERs is established. Some linearization techniques are used to simplify the proposed model. Then, we build a rolling horizon optimization framework to solve the model. The framework eliminates the adverse effect of prediction errors and speeds up the calculation. By introducing predictions into strategy determination, the framework achieves a better restoration effect than the traditional greedy method. The proposed framework is tested on a 33-bus system. The simulations verify the efficiency of our work.https://www.mdpi.com/1996-1073/15/9/3096rolling horizon optimizationactive distribution networknetwork reconfigurationresilience |
| spellingShingle | Ning Xin Laijun Chen Linrui Ma Yang Si A Rolling Horizon Optimization Framework for Resilient Restoration of Active Distribution Systems Energies rolling horizon optimization active distribution network network reconfiguration resilience |
| title | A Rolling Horizon Optimization Framework for Resilient Restoration of Active Distribution Systems |
| title_full | A Rolling Horizon Optimization Framework for Resilient Restoration of Active Distribution Systems |
| title_fullStr | A Rolling Horizon Optimization Framework for Resilient Restoration of Active Distribution Systems |
| title_full_unstemmed | A Rolling Horizon Optimization Framework for Resilient Restoration of Active Distribution Systems |
| title_short | A Rolling Horizon Optimization Framework for Resilient Restoration of Active Distribution Systems |
| title_sort | rolling horizon optimization framework for resilient restoration of active distribution systems |
| topic | rolling horizon optimization active distribution network network reconfiguration resilience |
| url | https://www.mdpi.com/1996-1073/15/9/3096 |
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