Combination Characteristics and Risk Analysis of Meteorological Parameters for Carrying Capacity Calculation of Overhead Line in a Power Grid
- Article
- Figures
- Metrics
- Preview PDF
- Reference
- Related
- Cited by
- Materials
Abstract:
According to the calculation demand of the carrying capacity of the overhead lines, this paper analyzes the monthly average, median, and quartile values, as well as the cutoff points of the abnormal values, by using the monthly extreme maximum temperature and the average wind speed at 14:00 of 94 meteorological stations in the southern Hebei power grid area from 1974 to 2018. Then the monthly high temperature analysis interval and the small wind speed analysis interval are determined and each high temperature analysis interval and the small wind speed analysis interval are grouped into meteorological parameter combinations. Based on the hourly temperature and wind speed data of 94 automatic stations in the southern Hebei power grid area from the station construction to 20 September in 2018, 〖JP2〗combined with the combination of meteorological parameters determined by the box plot method, the frequency of combination of various meteorological parameters and the meteorological risk of combination of parameters for the carrying capacity calculation of the southern Hebei power grid are analyzed month by month. The results show that the probability of combination of the maximum temperature and the minimum wind speed is very small, only 4, 1, 130 and 1 station in June, July, August and November. In general, the occurrence probability of combination of highrisk meteorological parameters is very small in 12 months, and the occurrence probability of combination of medium risk and lowrisk meteorological parameters is relatively high in summer. The comprehensive meteorological risk of combination of meteorological parameters is different in space. The risks of Cangzhou, Baoding and the Xiong’an new district are relatively low, while the risks of the Taihang Mountains and the plain in front of the mountain are relatively high. This study is helpful to understand the risk of power grid operation under highimpact weather conditions.〖JP〗
Keywords:
Project Supported:
Clc Number:
You are thevisitors
Supported by:Beijing E-Tiller Technology Development Co., Ltd.
Supported by:Beijing E-Tiller Technology Development Co., Ltd.