TSO-DSO Market Coordination Considering Renewable Energy Uncertainty

Shengao Zhu; Ting Wu; Qisheng Huang; Ziling Yu; Junhua Zhao

doi:10.1109/ICSGGE69348.2026.11508230

TSO-DSO Market Coordination Considering Renewable Energy Uncertainty

Shengao Zhu
, Ting Wu^*
, Qisheng Huang
, Ziling Yu
, Junhua Zhao

^*Corresponding author for this work

School of Robotics and Advanced Manufacture, Harbin Institute of Technology Shenzhen
The Chinese University of Hong Kong, Shenzhen
Shenzhen Institute of Artificial Intelligence and Robotics for Society

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

Abstract

High penetration of intermittent renewables threatens grid security, where TSO-DSO flexibility coordination is essential but existing work ignores renewable dataset trading in uncertainty mitigation. This paper develops a tri-level optimization model for the TSO-DSO coordinated market with dataset vendor, TSO and DSO as upper-, middle-, and lower-level players to capture their strategic interactions. An enhanced C&CG algorithm is used to solve the model. Numerical results verify that information trading cuts TSO operation costs while stabilizing DSO profits, and the bidding and procurement strategies of the dataset are influenced by multiple factors. This work provides a theoretical basis for TSO-DSO coordinated market design under energy transition.

Original language	English
Title of host publication	2026 5th International Conference on Smart Grid and Green Energy, ICSGGE 2026
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	966-971
Number of pages	6
ISBN (Electronic)	9798331563196
DOIs	https://doi.org/10.1109/ICSGGE69348.2026.11508230
State	Published - 2026
Externally published	Yes
Event	5th International Conference on Smart Grid and Green Energy, ICSGGE 2026 - Dongfang, China Duration: 20 Mar 2026 → 22 Mar 2026

Publication series

Name	2026 5th International Conference on Smart Grid and Green Energy, ICSGGE 2026

Conference

Conference	5th International Conference on Smart Grid and Green Energy, ICSGGE 2026
Country/Territory	China
City	Dongfang
Period	20/03/26 → 22/03/26

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 7 Affordable and Clean Energy

Keywords

C&CG algorithm
Dataset trading
Renewable energy
TSO-DSO coordination
Uncertainty

Access to Document

10.1109/ICSGGE69348.2026.11508230

Cite this

Zhu, S., Wu, T., Huang, Q., Yu, Z., & Zhao, J. (2026). TSO-DSO Market Coordination Considering Renewable Energy Uncertainty. In 2026 5th International Conference on Smart Grid and Green Energy, ICSGGE 2026 (pp. 966-971). (2026 5th International Conference on Smart Grid and Green Energy, ICSGGE 2026). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ICSGGE69348.2026.11508230

@inproceedings{2a266a8d7141431e925222e9651b6296,

title = "TSO-DSO Market Coordination Considering Renewable Energy Uncertainty",

abstract = "High penetration of intermittent renewables threatens grid security, where TSO-DSO flexibility coordination is essential but existing work ignores renewable dataset trading in uncertainty mitigation. This paper develops a tri-level optimization model for the TSO-DSO coordinated market with dataset vendor, TSO and DSO as upper-, middle-, and lower-level players to capture their strategic interactions. An enhanced C\&CG algorithm is used to solve the model. Numerical results verify that information trading cuts TSO operation costs while stabilizing DSO profits, and the bidding and procurement strategies of the dataset are influenced by multiple factors. This work provides a theoretical basis for TSO-DSO coordinated market design under energy transition.",

keywords = "C\&CG algorithm, Dataset trading, Renewable energy, TSO-DSO coordination, Uncertainty",

author = "Shengao Zhu and Ting Wu and Qisheng Huang and Ziling Yu and Junhua Zhao",

note = "Publisher Copyright: {\textcopyright} 2026 IEEE.; 5th International Conference on Smart Grid and Green Energy, ICSGGE 2026 ; Conference date: 20-03-2026 Through 22-03-2026",

year = "2026",

doi = "10.1109/ICSGGE69348.2026.11508230",

language = "英语",

series = "2026 5th International Conference on Smart Grid and Green Energy, ICSGGE 2026",

publisher = "Institute of Electrical and Electronics Engineers Inc.",

pages = "966--971",

booktitle = "2026 5th International Conference on Smart Grid and Green Energy, ICSGGE 2026",

address = "美国",

}

Zhu, S, Wu, T , Huang, Q, Yu, Z & Zhao, J 2026, TSO-DSO Market Coordination Considering Renewable Energy Uncertainty. in 2026 5th International Conference on Smart Grid and Green Energy, ICSGGE 2026. 2026 5th International Conference on Smart Grid and Green Energy, ICSGGE 2026, Institute of Electrical and Electronics Engineers Inc., pp. 966-971, 5th International Conference on Smart Grid and Green Energy, ICSGGE 2026, Dongfang, China, 20/03/26. https://doi.org/10.1109/ICSGGE69348.2026.11508230

TSO-DSO Market Coordination Considering Renewable Energy Uncertainty. / Zhu, Shengao; Wu, Ting ; Huang, Qisheng et al.
2026 5th International Conference on Smart Grid and Green Energy, ICSGGE 2026. Institute of Electrical and Electronics Engineers Inc., 2026. p. 966-971 (2026 5th International Conference on Smart Grid and Green Energy, ICSGGE 2026).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

TY - GEN

T1 - TSO-DSO Market Coordination Considering Renewable Energy Uncertainty

AU - Zhu, Shengao

AU - Wu, Ting

AU - Huang, Qisheng

AU - Yu, Ziling

AU - Zhao, Junhua

PY - 2026

Y1 - 2026

N2 - High penetration of intermittent renewables threatens grid security, where TSO-DSO flexibility coordination is essential but existing work ignores renewable dataset trading in uncertainty mitigation. This paper develops a tri-level optimization model for the TSO-DSO coordinated market with dataset vendor, TSO and DSO as upper-, middle-, and lower-level players to capture their strategic interactions. An enhanced C&CG algorithm is used to solve the model. Numerical results verify that information trading cuts TSO operation costs while stabilizing DSO profits, and the bidding and procurement strategies of the dataset are influenced by multiple factors. This work provides a theoretical basis for TSO-DSO coordinated market design under energy transition.

AB - High penetration of intermittent renewables threatens grid security, where TSO-DSO flexibility coordination is essential but existing work ignores renewable dataset trading in uncertainty mitigation. This paper develops a tri-level optimization model for the TSO-DSO coordinated market with dataset vendor, TSO and DSO as upper-, middle-, and lower-level players to capture their strategic interactions. An enhanced C&CG algorithm is used to solve the model. Numerical results verify that information trading cuts TSO operation costs while stabilizing DSO profits, and the bidding and procurement strategies of the dataset are influenced by multiple factors. This work provides a theoretical basis for TSO-DSO coordinated market design under energy transition.

KW - C&CG algorithm

KW - Dataset trading

KW - Renewable energy

KW - TSO-DSO coordination

KW - Uncertainty

UR - https://www.scopus.com/pages/publications/105041507672

U2 - 10.1109/ICSGGE69348.2026.11508230

DO - 10.1109/ICSGGE69348.2026.11508230

M3 - 会议稿件

AN - SCOPUS:105041507672

T3 - 2026 5th International Conference on Smart Grid and Green Energy, ICSGGE 2026

SP - 966

EP - 971

BT - 2026 5th International Conference on Smart Grid and Green Energy, ICSGGE 2026

PB - Institute of Electrical and Electronics Engineers Inc.

T2 - 5th International Conference on Smart Grid and Green Energy, ICSGGE 2026

Y2 - 20 March 2026 through 22 March 2026

ER -

Zhu S, Wu T , Huang Q, Yu Z, Zhao J. TSO-DSO Market Coordination Considering Renewable Energy Uncertainty. In 2026 5th International Conference on Smart Grid and Green Energy, ICSGGE 2026. Institute of Electrical and Electronics Engineers Inc. 2026. p. 966-971. (2026 5th International Conference on Smart Grid and Green Energy, ICSGGE 2026). doi: 10.1109/ICSGGE69348.2026.11508230

TSO-DSO Market Coordination Considering Renewable Energy Uncertainty

Abstract

Publication series

Conference

UN SDGs

Keywords

Access to Document

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