To exploit the flexibility of TSO–DSO interaction: A coordinated transmission robust planning and distribution stochastic reinforcement solution
With the penetration of distributed energy resources into distribution systems, the power exchange between distribution and transmission systems becomes more coupled and flexible. The technical and economy performance of the expansion approach could be improved with the consideration of TSO–DSO inte...
Main Authors: | , , , , , |
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Format: | Article |
Language: | English |
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Elsevier
2023-03-01
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Series: | Energy Reports |
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Online Access: | http://www.sciencedirect.com/science/article/pii/S2352484722023034 |
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author | Jia Liu Libo Zhang Kaicheng Liu Zao Tang Peter Pingliang Zeng Yalou Li |
author_facet | Jia Liu Libo Zhang Kaicheng Liu Zao Tang Peter Pingliang Zeng Yalou Li |
author_sort | Jia Liu |
collection | DOAJ |
description | With the penetration of distributed energy resources into distribution systems, the power exchange between distribution and transmission systems becomes more coupled and flexible. The technical and economy performance of the expansion approach could be improved with the consideration of TSO–DSO interconnection and interaction. This paper presents a hierarchical planning framework for distribution stochastic and transmission robust optimization in a coordinated manner. Source-network-load uncertainties in transmission network are formulated using uncertain set while source-demand uncertainties in distribution networks are described with a set of representative scenarios. An integrated solution procedure, including column and constraint generation and iteration algorithm, is proposed to determine the transmission robust and distribution stochastic expansion schemes. Simulation carried out on a transmission network with three distribution networks validates the high performance of the formulated problem compared with the existing isolated expansion approach. |
first_indexed | 2024-04-09T17:13:05Z |
format | Article |
id | doaj.art-c39dd4d95c74421c8c5a9604e5e184fb |
institution | Directory Open Access Journal |
issn | 2352-4847 |
language | English |
last_indexed | 2024-04-09T17:13:05Z |
publishDate | 2023-03-01 |
publisher | Elsevier |
record_format | Article |
series | Energy Reports |
spelling | doaj.art-c39dd4d95c74421c8c5a9604e5e184fb2023-04-20T04:36:47ZengElsevierEnergy Reports2352-48472023-03-0192736To exploit the flexibility of TSO–DSO interaction: A coordinated transmission robust planning and distribution stochastic reinforcement solutionJia Liu0Libo Zhang1Kaicheng Liu2Zao Tang3Peter Pingliang Zeng4Yalou Li5National Key Laboratory of Power Grid Security and Energy Conservation, China Electric Power Research Institute, Beijing 100192, China; Department of Automation, Hangzhou Dianzi University, Hangzhou 310018, ChinaNational Key Laboratory of Power Grid Security and Energy Conservation, China Electric Power Research Institute, Beijing 100192, ChinaNational Key Laboratory of Power Grid Security and Energy Conservation, China Electric Power Research Institute, Beijing 100192, ChinaDepartment of Automation, Hangzhou Dianzi University, Hangzhou 310018, ChinaDepartment of Automation, Hangzhou Dianzi University, Hangzhou 310018, China; Corresponding author.National Key Laboratory of Power Grid Security and Energy Conservation, China Electric Power Research Institute, Beijing 100192, ChinaWith the penetration of distributed energy resources into distribution systems, the power exchange between distribution and transmission systems becomes more coupled and flexible. The technical and economy performance of the expansion approach could be improved with the consideration of TSO–DSO interconnection and interaction. This paper presents a hierarchical planning framework for distribution stochastic and transmission robust optimization in a coordinated manner. Source-network-load uncertainties in transmission network are formulated using uncertain set while source-demand uncertainties in distribution networks are described with a set of representative scenarios. An integrated solution procedure, including column and constraint generation and iteration algorithm, is proposed to determine the transmission robust and distribution stochastic expansion schemes. Simulation carried out on a transmission network with three distribution networks validates the high performance of the formulated problem compared with the existing isolated expansion approach.http://www.sciencedirect.com/science/article/pii/S2352484722023034Robust transmission expansionStochastic distribution reinforcementTSO–DSO interactionUncertaintiesIteration algorithm |
spellingShingle | Jia Liu Libo Zhang Kaicheng Liu Zao Tang Peter Pingliang Zeng Yalou Li To exploit the flexibility of TSO–DSO interaction: A coordinated transmission robust planning and distribution stochastic reinforcement solution Energy Reports Robust transmission expansion Stochastic distribution reinforcement TSO–DSO interaction Uncertainties Iteration algorithm |
title | To exploit the flexibility of TSO–DSO interaction: A coordinated transmission robust planning and distribution stochastic reinforcement solution |
title_full | To exploit the flexibility of TSO–DSO interaction: A coordinated transmission robust planning and distribution stochastic reinforcement solution |
title_fullStr | To exploit the flexibility of TSO–DSO interaction: A coordinated transmission robust planning and distribution stochastic reinforcement solution |
title_full_unstemmed | To exploit the flexibility of TSO–DSO interaction: A coordinated transmission robust planning and distribution stochastic reinforcement solution |
title_short | To exploit the flexibility of TSO–DSO interaction: A coordinated transmission robust planning and distribution stochastic reinforcement solution |
title_sort | to exploit the flexibility of tso dso interaction a coordinated transmission robust planning and distribution stochastic reinforcement solution |
topic | Robust transmission expansion Stochastic distribution reinforcement TSO–DSO interaction Uncertainties Iteration algorithm |
url | http://www.sciencedirect.com/science/article/pii/S2352484722023034 |
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