Abstract
The frequency of typhoons in China has gradually increased, resulting in serious damage to low-voltage power grid lines. Therefore, it is of great significance to study the influencing factors and predict the amount of damage, which contributes to enhancing wind resistance and improving the efficiency of repairs. In this paper, 18 influencing factors with a correlation degree higher than 0.75 are selected by grey correlation analysis, and then converted into six common factors by factor analysis. Additionally, an extreme learning machine optimized by an improved gravitational search algorithm, hereafter referred to as IGSA-ELM, is established to predict the damage caused to the low-voltage lines by typhoons and verify the effectiveness of the factor analysis. The results reveal that the six common factors generated by factor analysis can effectively improve the prediction accuracy and the fitting effect of IGSA-ELM is better than those of the extreme learning machine (ELM) and the extreme learning machine based on particle swarm optimization (PSO-ELM). Finally, this article proposes valid policy recommendations to improve the anti-typhoon capacity and repair efficiency of the low-voltage lines in Guangdong Province.
Highlights
Extreme Learning Machine Optimized by Improved Gravitational Search Algorithm (IGSA-extreme learning machine (ELM))
In order to ensure the rationality of factor analysis, the extreme learning machine (ELM) and the
In order to ensure the rationality of factor analysis, the extreme learning machine (ELM) and extreme learning machine based on particle swarm optimization (PSO-ELM) are selected as the the extreme learning machine based on particle swarm optimization (PSO-ELM) are selected as the comparison models to verify the prediction accuracy of the IGSA-ELM model
Summary
With the continuous development of power production and consumption, the requirements of power reliability and high-quality service are gradually increasing. Studying the typhoon damage to the low-voltage lines in China is conducive to improving the wind-resistant capacity and repair efficiency, which is of great significance to the development of the power grid. In order to achieve the above objectives, it is necessary to conduct an in-depth analysis of the influencing factors of the damage caused by typhoons to the low-voltage lines in China and make predictions. On this basis, effective measures are proposed to prevent typhoon hazards and prepare for rush repairs
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