Observation and Simulation Studies of Three Types of Wire Icing

Niu, Shengjie; Lv, Jingjing; Zhou, Yue; Wang, Yuan

doi:10.3390/atmos10050234

Cited by 5 publications

(4 citation statements)

References 35 publications

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“…Wang [28] has pointed out that the entire icing phase needs to be considered in further research, as the safe operation of the power grid will also be affected during the melting of ice. Studying the icing growth and shedding mechanisms in different conditions, Wang [29] also agree with the great significance of wire icing evolution for ice disaster recognition and prediction. In spite of different research objects, the icing evolution is also emphasized in other fields.…”

Section: Introductionsupporting

confidence: 64%

“…Compared with other references, the results in the present paper may be more comprehensive and specific. For example, Wang [29] studies the wire icing evolution using the simulation of a wet snow ice accumulation model and shows that the growth rate of ice accretion may be affected under different meteorology conditions. To some extent, the types of icing evolution in the present paper also reflect the same characteristic, but the simulation simulates growth and shedding separately while the present paper studies the entire icing evolution based on big data.…”

Section: Discussionmentioning

confidence: 99%

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A Classification Method for Transmission Line Icing Process Curve Based on Hierarchical K-Means Clustering

et al. 2019

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Icing forecasting for transmission lines is of great significance for anti-icing strategies in power grids, but existing prediction models have some disadvantages such as application limitations, weak generalization, and lack of global prediction ability. To overcome these shortcomings, this paper suggests a new conception about a segmental icing prediction model for transmission lines in which the classification of icing process plays a crucial role. In order to obtain the classification, a hierarchical K-means clustering method is utilized and 11 characteristic parameters are proposed. Based on this method, 97 icing processes derived from the Icing Monitoring System in China Southern Power Grid are clustered into six categories according to their curve shape and the abstracted icing evolution curves are drawn based on the clustering centroid. Results show that the processes of ice events are probably different and the icing process can be considered as a combination of several segments and nodes, which reinforce the suggested conception of the segmental icing prediction model. Based on monitoring data and clustering, the obtained types of icing evolution are more comprehensive and specific, and the work lays the foundation for the model construction and contributes to other fields.

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Section: Introductionsupporting

confidence: 64%

Section: Discussionmentioning

confidence: 99%

A Classification Method for Transmission Line Icing Process Curve Based on Hierarchical K-Means Clustering

et al. 2019

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“…The significant increase in ice thickness occurred mainly at the initial stage of the ice accretion, and the change in ice thickness during the growth period accounted for more than 90% of the total ice thickness during the process, which was mainly limited by the collision rate of the SF droplets. The effective cross section at the initial stage of the ice accretion was the smallest in the whole process, and more droplets can fall on the cable easily, while with the increase of ice thickness, the effective cross section is amplified significantly, making supercooled droplets that can collide with the cable originally can no longer collide with the cable, which is also the main reason for the relatively stable and unobvious increase of ice thickness in later stage of ice accretion (Wang et al, 2019b). Unless a stronger SF process occurs in the later stage of ice accretion, there are more and bigger droplets to make the ice thickness continue to increase again.…”

Section: Simulation Of the Ice Accretion Process Under Rain-fog Weathermentioning

confidence: 99%

Influence of key parameters of ice accretion model under coexisting rain and fog weather

Zhou

Wu²,

Sun³

et al. 2023

Front. Earth Sci.

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Based on 30 complete wire icing processes lasted longer than 24 h observed from the Enshi, Jinsha, Dacaoping and Shennongding of Shennongjia in mountainous areas of Hubei province during the winter of 2008–2016, the macroscopic effects of rain–fog weather on the ice accretion process were analyzed. Furthermore, the distribution characteristics of key simulation parameters in supercooled fog (SF) and freezing rain (FR) were discussed according to the physical model of icing process. Finally, the evolution characteristics of the simulated ice thickness in rain–fog weather were proposed. Results showed that the duration of ice accretion in mountainous areas is the key factor affecting the maximum ice thickness; the freezing rain is most frequent during the glaze icing process, which leads to the substantial growth of ice thickness. The average growth rates of ice thickness with and without freezing rain are 1.26 mm h−1 and -0.11 mm h−1, respectively. Collision rate is the main parameter for inhibiting ice accretion of SF, with an average value of ∼ 0.1, while freezing rate is the main parameter for inhibiting ice accretion of FR, with an average value of ∼ 0.6. The ice accretion of SF shows the characteristics of periodic growth, while the ice accretion of FR shows the explosive growth of ice thickness, which makes the simulated values of icing closer to the observations. The ice formation efficiency of FR was more than twice that of SF, with a negative feedback mechanism to the ice accumulation of SF.

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“…This means that when the terrain elevation facilitates the collection of more water vapor, it is more likely to result in icing. Therefore, identifying typical terrain patterns and confirming areas where wire, pole and tower icing is more likely to occur is essential to address wire icing risk [16][17][18]. In previous terrain studies, more attention has been focused on slope and aspect, watershed analysis and terrain profile analysis.…”

Section: Introductionmentioning

confidence: 99%

Research on the Identification of Typical Terrain Patterns in Yunnan Province Based on the K-Means Technology

Zhou,

Huai,

Yan

et al. 2024

Atmosphere

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Wire icing is a prevalent challenge in both industrial and scientific domains, and it is widely acknowledged that terrain and water vapor are significant contributing factors in the formation of wire icing. Consequently, the identification of terrains that are prone to inducing water vapor uplift serves as the scientific foundation for predicting ice accumulation on power lines. Yunnan Province, a mountainous province in China, features a large elevation difference. In winter, this region is prone to wire, pole and tower icing, which can affect power transmission and cause economic and property losses. Therefore, it is necessary to conduct research on the identification of typical terrain patterns in this region. In previous terrain studies, more attention has been focused on slope and aspect, watershed analysis and terrain profile analysis. When the purpose of the terrain identification is to analyze which terrains are more prone to collecting water vapor, we hope to obtain slightly larger terrain blocks and analyze the water vapor sources for different terrains in order to identify typical terrains that are conducive to icing formation. A new technology for identifying terrain patterns based on the K-means clustering method is proposed in this study to explore the typical terrain in Yunnan province. Additionally, the influences of different terrain patterns on water vapor movement are also analyzed. The results indicate that the typical terrains in Yunnan are “Valley-Air Channel”, “Topographic Uplifting”, “Ravine”, “Mountain Pass” and “Alpine Divide” patterns. The results show that the identified typical terrain is consistent with observations from satellite images, which verifies the effectiveness of this identification method. Among these five typical terrains, the “Valley-Air Channel”, the “Topographic Uplifting” and the “Mountain Pass” terrains are prone to collecting water vapor and forming ice cover. The “Alpine Divide” terrain is also prone to accumulating water vapor on both sides to form ice cover. The identified typical terrain demonstrates that typical terrain patterns near water bodies are more prone to the occurrence of wire, pole and tower icing because these areas are abundant in water vapor, and the extensive water vapor is easily condensed under the effects of terrain uplifting and cooling. In these key areas, existing wires and towers, as well as those to be constructed in the future, deserve our special attention.

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Observation and Simulation Studies of Three Types of Wire Icing

Cited by 5 publications

References 35 publications

A Classification Method for Transmission Line Icing Process Curve Based on Hierarchical K-Means Clustering

A Classification Method for Transmission Line Icing Process Curve Based on Hierarchical K-Means Clustering

Influence of key parameters of ice accretion model under coexisting rain and fog weather

Research on the Identification of Typical Terrain Patterns in Yunnan Province Based on the K-Means Technology

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