The Calculation of Line Fault Probability in Ice Storm

2013 ◽  
Vol 441 ◽  
pp. 300-303
Author(s):  
Wei Ming Feng ◽  
Su Quan Zhou ◽  
Tai Shan Xu ◽  
Qiang Liu ◽  
Ji Lai Yu
Keyword(s):  
Transmission Lines ◽  
Meteorological Data ◽  
Exponential Model ◽  
Wind Load ◽  
Combined Effects ◽  
Ice Storm ◽  
Fault Probability ◽  
Grid Security ◽  
Security Control ◽  
Probability Calculation

In this paper a line fault probability calculation method by the combined effects of icing and wind is developed. Considering the force effect of icing and wind on the transmission lines, an icing-wind load is presented. It can be used to calculated the real-time or predict line fault probability using the characteristic exponential model reflecting metal resisting capacity. The example using historical meteorological data and simulating grid is given and the results show that, icing-wind load presented in this paper makes the calculate result of failure probability more serious. The line fault probability is helpful for the further grid security control.

scholarly journals Development of a meteorological forecast for snow accumulation on transmission lines

1993 ◽  
Vol 18 ◽  
pp. 107-112
Author(s):  
Tatsuhito Ito ◽  
Masaru Yamaoka ◽  
Hisayuki Ohura ◽  
Takashi Taniguchi ◽  
Gorow Wakahama
Keyword(s):  
Air Temperature ◽  
Transmission Lines ◽  
Wind Direction ◽  
Mesoscale Model ◽  
Meteorological Data ◽  
Snow Accumulation ◽  
Surface Winds ◽  
Temperature And Precipitation ◽  
Wet Snow

In Hokkaido we have often experienced hazardous accidents, such as tower collapses and conductor breakage, caused by wet-snow accretion on transmission lines, and over many years have developed countermeasures for wet-snow accretion. Recently we have been developing a system to forecast areas where snow accretion may occur. We used the southern part of Hokkaido, divided into 5 km × 5 km meshes, as a forecast area; our predictions were hourly, 3–24 hours in advance. A method of predicting meteorological data which forms an important part of the system predicts three elements which influence wet-snow accretion: air temperature, precipitation, and wind direction and speed. We used an interpolation for predicting temperature and precipitation and a one-level, mesoscale model for diagnosing surface winds for wind direction and speed. By applying the method to many examples of wet-snow accretion, we checked the prediction of weather elements.

scholarly journals Research on wind load characteristics of conductors in transmission lines of Gansu power grids

2018 ◽  
Vol 199 ◽  
pp. 052047
Author(s):  
Shang Yadong ◽  
Li Peng ◽  
Su Junhu ◽  
Bao Chengjia ◽  
Wang Feixing ◽  
...  
Keyword(s):  
Transmission Lines ◽  
Wind Load ◽  
Power Grids ◽  
Load Characteristics

Combined effects of wind and atmospheric icing on overhead transmission lines

2020 ◽  
Vol 204 ◽  
pp. 104271 ◽  
Author(s):  
Alvise Rossi ◽  
Chowdhury Jubayer ◽  
Holger Koss ◽  
Daniel Arriaga ◽  
Horia Hangan
Keyword(s):  
Transmission Lines ◽  
Combined Effects ◽  
Overhead Transmission Lines ◽  
Atmospheric Icing

Seismic Design Scope of Tower Structures for UHV Transmission Lines on the Zone of Earthquake Fortification Intensity 8

2012 ◽  
Vol 446-449 ◽  
pp. 3730-3735
Author(s):  
Ni Na Zheng ◽  
Ying Min Li ◽  
Jing Zhao ◽  
Zheng Lun Chen
Keyword(s):  
Seismic Design ◽  
Transmission Lines ◽  
Structural Design ◽  
Wind Load ◽  
Seismic Action ◽  
Action Effects ◽  
Overhead Transmission Line ◽  
Control Load ◽  
Intensity Region ◽  
Uhv Transmission Lines

The seismic action effects of tower structures for ultra-high-voltage(UHV, upon 750KV) overhead transmission lines are much greater than those of 500KV and below, it is necessary to inspect the control load in structural design and specify the seismic design scope of tower structures for these UHV transmission lines. In this paper, the current regulations of seismic design and non-seismic design of tower structures for overhead transmission line were contrasted firstly; then, a series of typical towers including large-crossing towers and cup-towers at soft sites, on the zone of earthquake fortification intensity region of 8, were analyzed. The ratios of seismic action effects and wind load effects for characteristic value were calculated and the control load in structural design of tower structure was investigated. The results show that, although the height and the weigth of tower structures for UHV transmission lines are increasing, the control load in structural design is still the wind load on the zone of earthquake fortification intensity region of 8 and below.

scholarly journals Probabilistic prediction for the ampacity of overhead lines using Quantile Regression Neural Network

2020 ◽  
Vol 185 ◽  
pp. 02022
Author(s):  
Xu Jin ◽  
Fudong Cai ◽  
Mengxia Wang ◽  
Yang Sun ◽  
Shengyuan Zhou
Keyword(s):  
Neural Network ◽  
Quantile Regression ◽  
Transmission Lines ◽  
Meteorological Data ◽  
Overhead Line ◽  
Probabilistic Prediction ◽  
Overhead Lines ◽  
Overhead Transmission Lines ◽  
Planning And Control ◽  
And Control

The ampacity of overhead transmission lines play a key role in power system planning and control. Due to the volatility of the meteorological elements, the ampacity of an overhead line is timevarying. In order to fully utilize the transfer capability of overhead transmission lines, it is necessary to provide system operators with accurate probabilistic prediction results of the ampacity. In this paper, a method based on the Quantile Regression Neural Network (QRNN) is proposed to improve the performance of the probabilistic prediction of the ampacity. The QRNN-based method uses a nonlinear model to comprehensively model the impacts of historical meteorological data and historical ampacity data on the ampacity at predictive time period. Numerical simulations based on the actual meteorological data around an overhead line verify the effectiveness of the proposed method.

scholarly journals STUDY ON SNOWMELT FLOOD DISASTER MODEL BASED ON REMOTE SENSING AND GIS

2019 ◽  
Vol XLII-2/W13 ◽  
pp. 709-713
Author(s):  
C. Qiao ◽  
Q. Y. Huang ◽  
T. Chen ◽  
Y. M. Chen
Keyword(s):  
Remote Sensing ◽  
Transmission Lines ◽  
Damage Assessment ◽  
Meteorological Data ◽  
Remote Sensing And Gis ◽  
Assessment Model ◽  
Mountainous Area ◽  
Flood Depth ◽  
Disaster Loss ◽  
Snowmelt Flood

<p><strong>Abstract.</strong> In the context of global warming, the snowmelt flood events in the mountainous area of the middle and high latitudes are increasingly frequent and create severe casualties and property damages. Carrying out the prediction and risk assessment of the snowmelt flood is of great importance in the water resources management, the flood warning and prevention. Based on the remote sensing and GIS techniques, the relationships of the variables influencing the snowmelt flood such as the snow area, the snow depth, the air temperature, the precipitation, the land topography and land covers are analyzed and a prediction and damage assessment model for snowmelt floods is developed. This model analyzes and predicts the flood submerging range, flood depth, flood grade, and the damages of different underlying surfaces in the study area in a given time period based on the estimation of snowmelt amount, the snowmelt runoff, the direction and velocity of the flood. Then it was used to predict a snowmelt flood event in the Ertis River Basin in northern Xinjiang, China, during March and June, 2017 and to assess its damages including the damages of roads, transmission lines, settlements caused by the floods and the possible landslides using the hydrological and meteorological data, snow parameter data, DEM data and land use data. A comparison was made between the prediction results from this model and flood measurement and its disaster loss data, which suggests that this model performs well in predicting the strength and impact area of snowmelt flood and its damage assessment.</p>

scholarly journals Power Transmission Congestion Management Based on Quasi-Dynamic Thermal Rating

Processes ◽  
2019 ◽  
Vol 7 (5) ◽  
pp. 244 ◽  
Author(s):  
Yanling Wang ◽  
Zidan Sun ◽  
Zhijie Yan ◽  
Likai Liang ◽  
Fan Song ◽  
...  
Keyword(s):  
Power Systems ◽  
Transmission Lines ◽  
Power Transmission ◽  
Meteorological Data ◽  
Congestion Management ◽  
Alarm System ◽  
Transmission Congestion ◽  
Ieee Standard ◽  
Operation Risk ◽  
Operation Flexibility

Transmission congestion not only increases the operation risk, but also reduces the operation efficiency of power systems. Applying a quasi-dynamic thermal rating (QDR) to the transmission congestion alarm system can effectively alleviate transmission congestion. In this paper, according to the heat balance equation under the IEEE standard, a calculation method of QDR is proposed based on the threshold of meteorological parameters under 95% confidence level, which is determined by statistical analysis of seven-year meteorological data in Weihai, China. The QDR of transmission lines is calculated at different time scales. A transmission congestion management model based on QDR is established, and the transmission congestion alarm system including conductor temperature judgment is proposed. The case shows that transmission congestion management based on QDR is feasible, which improves the service life and operation flexibility of the power grid in emergencies and avoids power supply shortages caused by unnecessary trip protection.

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