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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Main Authors: Aoyu Lei, Ligang Zhao, Yong Mei, Hongyue Zhen, Yongqiang Gao, Tinghui Zhou
Format: Article
Language:English
Published: Frontiers Media S.A. 2025-01-01
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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