A two-stage flexible scheduling method for power systems with wind power considering the coordination of multiple resources
The intermittency and uncertainty of renewable energy generations, such as wind power, present great challenges to the secure and stable operation of power grids. To accommodate a high penetration of renewable energy, it is vital to coordinate multiple flexible resources to deal with the intermitten...
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Frontiers Media S.A.
2025-01-01
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Series: | Frontiers in Energy Research |
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Online Access: | https://www.frontiersin.org/articles/10.3389/fenrg.2024.1503086/full |
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author | Aoyu Lei Ligang Zhao Yong Mei Hongyue Zhen Yongqiang Gao Tinghui Zhou |
author_facet | Aoyu Lei Ligang Zhao Yong Mei Hongyue Zhen Yongqiang Gao Tinghui Zhou |
author_sort | Aoyu Lei |
collection | DOAJ |
description | The intermittency and uncertainty of renewable energy generations, such as wind power, present great challenges to the secure and stable operation of power grids. To accommodate a high penetration of renewable energy, it is vital to coordinate multiple flexible resources to deal with the intermittency and uncertainty of renewable energy and ensure the network security. In this paper, we propose a two-stage stochastic flexible dispatching method for power systems with large-scale wind power, which considers the coordination of unit commitment, optimal transmission switching, and optimal control of phase-shifting transformers within a unified framework. On the grid side, flexibility is improved through phase-shifting transformer regulation and optimal transmission switching. On the source side, flexibility is fully exploited through two-stage stochastic unit commitment. In the day-ahead scheduling stage, transmission topology optimization and unit commitment schemes are determined based on the predicted load demand and renewable energy output. In the real-time dispatching stage, phase-shifting transformers and unit outputs are adjusted and dispatched based on the possible scenarios of load demand and renewable energy output. The effectiveness of the proposed method is verified through case studies on the IEEE RTS-24 system and IEEE 118-bus system. |
format | Article |
id | doaj-art-67f6ec15cc81496ab7638390a9e86d99 |
institution | Kabale University |
issn | 2296-598X |
language | English |
publishDate | 2025-01-01 |
publisher | Frontiers Media S.A. |
record_format | Article |
series | Frontiers in Energy Research |
spelling | doaj-art-67f6ec15cc81496ab7638390a9e86d992025-01-06T06:59:44ZengFrontiers Media S.A.Frontiers in Energy Research2296-598X2025-01-011210.3389/fenrg.2024.15030861503086A two-stage flexible scheduling method for power systems with wind power considering the coordination of multiple resourcesAoyu Lei0Ligang Zhao1Yong Mei2Hongyue Zhen3Yongqiang Gao4Tinghui Zhou5Power Dispatch and Control Center of China Southern Power Grid, Guangzhou, ChinaElectric Power Research Institute, CSG, Guangzhou, ChinaPower Dispatch and Control Center of China Southern Power Grid, Guangzhou, ChinaElectric Power Research Institute, CSG, Guangzhou, ChinaPower Dispatch and Control Center of China Southern Power Grid, Guangzhou, ChinaElectric Power Research Institute, CSG, Guangzhou, ChinaThe intermittency and uncertainty of renewable energy generations, such as wind power, present great challenges to the secure and stable operation of power grids. To accommodate a high penetration of renewable energy, it is vital to coordinate multiple flexible resources to deal with the intermittency and uncertainty of renewable energy and ensure the network security. In this paper, we propose a two-stage stochastic flexible dispatching method for power systems with large-scale wind power, which considers the coordination of unit commitment, optimal transmission switching, and optimal control of phase-shifting transformers within a unified framework. On the grid side, flexibility is improved through phase-shifting transformer regulation and optimal transmission switching. On the source side, flexibility is fully exploited through two-stage stochastic unit commitment. In the day-ahead scheduling stage, transmission topology optimization and unit commitment schemes are determined based on the predicted load demand and renewable energy output. In the real-time dispatching stage, phase-shifting transformers and unit outputs are adjusted and dispatched based on the possible scenarios of load demand and renewable energy output. The effectiveness of the proposed method is verified through case studies on the IEEE RTS-24 system and IEEE 118-bus system.https://www.frontiersin.org/articles/10.3389/fenrg.2024.1503086/fullrenewable energy generationunit commitmentoptimal transmission switchingphase-shifting transformerpower systems |
spellingShingle | Aoyu Lei Ligang Zhao Yong Mei Hongyue Zhen Yongqiang Gao Tinghui Zhou A two-stage flexible scheduling method for power systems with wind power considering the coordination of multiple resources Frontiers in Energy Research renewable energy generation unit commitment optimal transmission switching phase-shifting transformer power systems |
title | A two-stage flexible scheduling method for power systems with wind power considering the coordination of multiple resources |
title_full | A two-stage flexible scheduling method for power systems with wind power considering the coordination of multiple resources |
title_fullStr | A two-stage flexible scheduling method for power systems with wind power considering the coordination of multiple resources |
title_full_unstemmed | A two-stage flexible scheduling method for power systems with wind power considering the coordination of multiple resources |
title_short | A two-stage flexible scheduling method for power systems with wind power considering the coordination of multiple resources |
title_sort | two stage flexible scheduling method for power systems with wind power considering the coordination of multiple resources |
topic | renewable energy generation unit commitment optimal transmission switching phase-shifting transformer power systems |
url | https://www.frontiersin.org/articles/10.3389/fenrg.2024.1503086/full |
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