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Regular Paper | Open Access

Operational Risk Assessment for Integrated Transmission and Distribution Networks

Kunjie Tang1Shufeng Dong1 ( )Jian Huang2Xiang Ma2
College of Electrical Engineering, Zhejiang University, Hangzhou 310027, China
State Grid Jinhua Power Supply Company, Jinhua 321017, China
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Abstract

To satisfy the requirements of accurate operational risk assessment of integrated transmission and distribution networks (I-T&D), an integrated operational risk assessment (I-ORA) algorithm is proposed. Specific cases demonstrate that an I-ORA is necessary because it provides accurate handling of the coupling between transmission and distribution networks, accurate analysis of power supply mode (PSM) changes of important users and helps to improve security and stability of power grid operations. Two key technical requirements in the I-ORA algorithm are realized, i.e., integrated topology analysis and integrated power flow calculation. Under a certain contingency, integrated topology analysis is used to assess the risks of substation power cuts, network split and PSM changes of important users, while the integrated power flow calculation, based on the self-adaptive Levenburg-Marquard method and Newton method, can be implemented to assess risks of heavy load/overload and voltage deviation. In addition, the graphics processing unit is used to parallelly process some computation-intensive steps. Numerical experiments show that the proposed I-ORA algorithm can realize accurate assessment for the entire I-T&D. In addition, the efficiency and convergence are satisfying, indicating the proposed I-ORA algorithm can significantly benefit real practice in the coordination operation of I-T&D in the future.

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CSEE Journal of Power and Energy Systems
Pages 2109-2120
Cite this article:
Tang K, Dong S, Huang J, et al. Operational Risk Assessment for Integrated Transmission and Distribution Networks. CSEE Journal of Power and Energy Systems, 2023, 9(6): 2109-2120. https://doi.org/10.17775/CSEEJPES.2020.02490

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Received: 05 June 2020
Revised: 12 July 2020
Accepted: 28 July 2020
Published: 19 August 2020
© 2020 CSEE.

This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).

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