Island operation strategy under extreme disaster weather

To improve the power supply guarantee capability under extreme weather conditions, this paper presents island operation model under extreme disaster weather. Batts model for typhoon wind speed and the failure rate model were established, and the Monte Carlo method was used to simulate the fault scenario and obtain the fault line; The optimization in pre-disaster stage aims to minimize economic costs and network losses. The adaptive discrete particle swarm optimization algorithm is used to solve the optimization model for distributed site selection and capacity determination of wind-solar-storage enengy.By comparing and analyzing the load recovery results and economics of different strategies through numerical examples, the feasibility and superiority of the model proposed in this paper were verified.

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Publication Details

Published
2025-08-22
DOI
https://doi.org/10.1109/ccris65764.2025.11192986
Primary Topic
Island Studies and Pacific Affairs
Type
article
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article

Island operation strategy under extreme disaster weather

Dexiang Li, Wu Jiekang, Milu Zhou, Ling Li et al.
Island Studies and Pacific Affairs
article

Island operation strategy under extreme disaster weather

Dexiang Li, Wu Jiekang, Milu Zhou, Ling Li, Huijie Sun, Yicong Mo
article en

Abstract

To improve the power supply guarantee capability under extreme weather conditions, this paper presents island operation model under extreme disaster weather. Batts model for typhoon wind speed and the failure rate model were established, and the Monte Carlo method was used to simulate the fault scenario and obtain the fault line; The optimization in pre-disaster stage aims to minimize economic costs and network losses. The adaptive discrete particle swarm optimization algorithm is used to solve the optimization model for distributed site selection and capacity determination of wind-solar-storage enengy.By comparing and analyzing the load recovery results and economics of different strategies through numerical examples, the feasibility and superiority of the model proposed in this paper were verified.

Guangdong University of Technology (CN), China Southern Power Grid (China) (CN)
Openalex Percentile: Top 49%
Island Studies and Pacific Affairs
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