Dynamic Thermal Rating of Overhead Lines under Fog-Haze Environment

2nd International Symposium on Resource Exploration and Environmental Science

生态环境科学

Fu, Shanqiang^1 ; Wang, Mengxia^1 ; Zhang, Qiang^2 ; Zhang, Haicheng^3

School of Shandong University, Jinan

250061, China^1

Shandong Electric Power Dispatching and Control Center, Shandong Province, Jinan

250022, China^2

Binzhou Power Supply Company of State Grid Shandong Electric Power Company, Binzhou, Shandong Province

256600, China^3

关键词: Auto-regressive;    Dynamic thermal ratings;    Dynamic thermal ratings (DTR);    Economic operations;    Overhead transmission lines;    Power system planning;    Static thermal rating;    Time series forecasting models;   

Others  :  https://iopscience.iop.org/article/10.1088/1755-1315/170/3/032151/pdf
DOI  :  10.1088/1755-1315/170/3/032151

学科分类：环境科学（综合）

来源: IOP

【 摘 要 】

Dynamic thermal rating (DTR) is more accurate and can better utilize the transmission/distributioncapacity of an electric power system compared to static thermal rating. It is beneficial to integrate DTR into power system planning problems where modeling the DTR is vital. In this paper, under the background of the increasingly severe fog-haze weather, the influence of which on the thermal rating of overhead transmission lines is analyzed. Based on this, the idea of using the time series forecasting model, which is autoregressive integrated movingaverage ( ARIMA), to predict the short-term thermal value of overhead lines under fog-haze conditions is proposed. The forecast results showed that this study has practical significance for improving the safety and economic operation level of power systems as well as efficient utilization of transmission line load capacity under fog-haze environment.