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Regular Paper | Open Access

Resilience-oriented Hardening and Expansion Planning of Transmission System Under Hurricane Impact

Jing Zhou1Heng Zhang1( )Haozhong Cheng1Shenxi Zhang1Lu Liu1Zheng Wang2Xiaohu Zhang2
Key Laboratory of Control of Power Transmission and Conversion, Ministry of Education, Electrical Engineering Department, Shanghai Jiao Tong University, Shanghai 200240, China
State Grid East China Branch, Shanghai 200120, China
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Abstract

In this paper, we propose a two-stage transmission hardening and planning (TH&P) model that can meet the load growth demand of normal scenarios and the resilience requirements of hurricane-induced damage scenarios. To better measure the resilience requirements, the proposed TH&P model includes two resilience assessment indexes, namely, the load shedding (LS) under the damage scenario and the average connectivity degree (ACD) at different stages. The first-stage model, which aims to meet the load growth demand while minimizing the LS, is formulated as a mixed-integer linear program (MILP) to minimize the total planning and hardening cost of transmission lines, the operating cost of generators, and the penalty cost of wind power and load shedding in both normal and damage scenarios. The second-stage model aims to further improve the ACD when the ACD of the scheme obtained from the first-stage model cannot reach the target. Specifically, the contribution of each transmission line to the ACD is calculated, and the next hardened line is determined to increase the ACD. This process is repeated until the ACD meets the requirements. Case studies of the modified IEEE RTS-24 and two-area IEEE reliability test system-1996 indicate the proposed TH&P model can meet the requirements for both normal and damage scenarios.

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CSEE Journal of Power and Energy Systems
Pages 1746-1760
Cite this article:
Zhou J, Zhang H, Cheng H, et al. Resilience-oriented Hardening and Expansion Planning of Transmission System Under Hurricane Impact. CSEE Journal of Power and Energy Systems, 2024, 10(4): 1746-1760. https://doi.org/10.17775/CSEEJPES.2022.07300

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Received: 25 October 2022
Revised: 11 March 2023
Accepted: 31 May 2023
Published: 27 February 2024
© 2022 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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