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Publishing Language: Chinese | Open Access

Transient stability constrained optimal power flow considering spatio-temporal correlation of wind power output

Songkai LIU1,2Wangjiang LIU1,2Pan HU1,2,3Kun GAO4Lei ZHANG1,2Pingchuan HUANG1,2
College of Electrical Engineering and New Energy, China Three Gorges University, Yichang 443002, China
Hubei Provincial Collaborative Innovation Center for New Energy Microgrid, Yichang 443002, China
State Grid Hubei Electric Power Co., Ltd. Research Institute, Wuhan 430077, China
Changde Power Supply Company of State Grid Hunan Electric Power Co., Ltd., Changde 415130, China
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Abstract

There is uncertainty in the output of wind farms, and there are also certain correlation in time and space. The random variables brought by these wind farms are introduced into the system, which may bring certain deviations to the calculation of the transient stability constrained optimal power flow (TSCOPF) if their temporal and spatial correlations are not adequately taken into account. Therefore, a TSCOPF model and calculation method considering the spatio-temporal correlation of wind power output are proposed. Firstly, a wind power output model containing spatio-temporal correlation is constructed to consider the correlation between wind farm power output in time and space dimensions. Secondly, a probability constraint is constructed based on the joint chance constraint (JCC) theory and a TSCOPF model based on JCC theory is established on this basis. Then a mix sample average approximation (MSAA) is used to process JCC, and JCC problem is transformed into a linear programming (LP) problem, which is solved by the CPLEX solver. Finally, simulation analysis is carried out at the improved IEEE 39-bus system, and the simulation results show that the proposed method can obtain the optimal operation scheme while ensuring system safety and stability.

CLC number: TM712 Document code: A

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Electric Power Engineering Technology
Pages 12-20

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Cite this article:
LIU S, LIU W, HU P, et al. Transient stability constrained optimal power flow considering spatio-temporal correlation of wind power output. Electric Power Engineering Technology, 2026, 45(6): 12-20. https://doi.org/10.12158/j.2096-3203.2026.06.002

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Received: 27 April 2025
Revised: 03 July 2025
Published: 30 June 2026
© After publication of the article, the authors shall own the right of signature. 2026.

The authors can use or share the published article under the Attribution-Non Commercial 4.0 International (CC BY-NC 4.0) license.