Two-stage planning method of distributed generation for improvement of resilience in extreme weather based on load partition coordinated recovery
This paper proposes a two-stage planning method of distributed generation based on coordinated recovery of load partition to improve the resilience of the power grid in extreme weather. The method includes a scenario generation model and an optimization model. In the first stage, a scenario generati...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
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Frontiers Media S.A.
2023-04-01
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| Series: | Frontiers in Energy Research |
| Subjects: | |
| Online Access: | https://www.frontiersin.org/articles/10.3389/fenrg.2023.1136753/full |
| _version_ | 1797848967778664448 |
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| author | Jiting Gu Shuai Wang Yangbo Ou |
| author_facet | Jiting Gu Shuai Wang Yangbo Ou |
| author_sort | Jiting Gu |
| collection | DOAJ |
| description | This paper proposes a two-stage planning method of distributed generation based on coordinated recovery of load partition to improve the resilience of the power grid in extreme weather. The method includes a scenario generation model and an optimization model. In the first stage, a scenario generation model is established, including the distributed generation output and line failure models, to obtain the power output and line status in different scenarios with different weather. Then, an optimal subnetwork screening robust optimization model is built to screen the optimal subnetworks for the deployment of distributed generation in each scenario. In the second stage, a node location optimization model is developed to obtain the optimal node locations for deploying distributed generation within the subnetwork, aiming at maximizing the recovery efficiency of critical loads. Case studies based on a modified IEEE 30-bus system are used to demonstrate the effectiveness of the proposed method. The findings show that the recovered load and recovery efficiency of the power system can be significantly improved. |
| first_indexed | 2024-04-09T18:36:11Z |
| format | Article |
| id | doaj.art-505157f9e9cf49f4928bd87a9b36c209 |
| institution | Directory Open Access Journal |
| issn | 2296-598X |
| language | English |
| last_indexed | 2024-04-09T18:36:11Z |
| publishDate | 2023-04-01 |
| publisher | Frontiers Media S.A. |
| record_format | Article |
| series | Frontiers in Energy Research |
| spelling | doaj.art-505157f9e9cf49f4928bd87a9b36c2092023-04-11T09:44:59ZengFrontiers Media S.A.Frontiers in Energy Research2296-598X2023-04-011110.3389/fenrg.2023.11367531136753Two-stage planning method of distributed generation for improvement of resilience in extreme weather based on load partition coordinated recoveryJiting Gu0Shuai Wang1Yangbo Ou2Power Economic Research Institute, State Grid Zhejiang Electric Power Company, Hangzhou, ChinaAnhui Provincial Key Laboratory of Renewable Energy Utilization and Energy Saving (Hefei University of Technology), Hefei, ChinaAnhui Provincial Key Laboratory of Renewable Energy Utilization and Energy Saving (Hefei University of Technology), Hefei, ChinaThis paper proposes a two-stage planning method of distributed generation based on coordinated recovery of load partition to improve the resilience of the power grid in extreme weather. The method includes a scenario generation model and an optimization model. In the first stage, a scenario generation model is established, including the distributed generation output and line failure models, to obtain the power output and line status in different scenarios with different weather. Then, an optimal subnetwork screening robust optimization model is built to screen the optimal subnetworks for the deployment of distributed generation in each scenario. In the second stage, a node location optimization model is developed to obtain the optimal node locations for deploying distributed generation within the subnetwork, aiming at maximizing the recovery efficiency of critical loads. Case studies based on a modified IEEE 30-bus system are used to demonstrate the effectiveness of the proposed method. The findings show that the recovered load and recovery efficiency of the power system can be significantly improved.https://www.frontiersin.org/articles/10.3389/fenrg.2023.1136753/fulldistributed generationextreme weatherload recoverypower supply planningrobustnessblack-start |
| spellingShingle | Jiting Gu Shuai Wang Yangbo Ou Two-stage planning method of distributed generation for improvement of resilience in extreme weather based on load partition coordinated recovery Frontiers in Energy Research distributed generation extreme weather load recovery power supply planning robustness black-start |
| title | Two-stage planning method of distributed generation for improvement of resilience in extreme weather based on load partition coordinated recovery |
| title_full | Two-stage planning method of distributed generation for improvement of resilience in extreme weather based on load partition coordinated recovery |
| title_fullStr | Two-stage planning method of distributed generation for improvement of resilience in extreme weather based on load partition coordinated recovery |
| title_full_unstemmed | Two-stage planning method of distributed generation for improvement of resilience in extreme weather based on load partition coordinated recovery |
| title_short | Two-stage planning method of distributed generation for improvement of resilience in extreme weather based on load partition coordinated recovery |
| title_sort | two stage planning method of distributed generation for improvement of resilience in extreme weather based on load partition coordinated recovery |
| topic | distributed generation extreme weather load recovery power supply planning robustness black-start |
| url | https://www.frontiersin.org/articles/10.3389/fenrg.2023.1136753/full |
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