Cable Overheating Risk Warning Method Based on Impedance Parameter Estimation in Distribution Network

2017 2nd Asia Conference on Power and Electrical Engineering

能源学;电工学

Zhang, Yu^1 ; Song, Xiaohui^1 ; Li, Jianfang^1 ; Gao, Fei^1

China Electric Power Research Institute, No.15, Qinghexiaoying East Road, Haidian Dist., Beijing, China^1

关键词: Cable line in distribution networks;    Distribution network operators;    Impedance parameters;    Least square methods;    Line temperatures;    Operation maintenance;    Risk Identification;    Short-circuit fault;   

Others  :  https://iopscience.iop.org/article/10.1088/1757-899X/199/1/012044/pdf
DOI  :  10.1088/1757-899X/199/1/012044

来源: IOP

【 摘 要 】

Cable overheating will lead to the cable insulation level reducing, speed up the cable insulation aging, even easy to cause short circuit faults. Cable overheating risk identification and warning is nessesary for distribution network operators. Cable overheating risk warning method based on impedance parameter estimation is proposed in the paper to improve the safty and reliability operation of distribution network. Firstly, cable impedance estimation model is established by using least square method based on the data from distribiton SCADA system to improve the impedance parameter estimation accuracy. Secondly, calculate the threshold value of cable impedance based on the historical data and the forecast value of cable impedance based on the forecasting data in future from distribiton SCADA system. Thirdly, establish risks warning rules library of cable overheating, calculate the cable impedance forecast value and analysis the change rate of impedance, and then warn the overheating risk of cable line based on the overheating risk warning rules library according to the variation relationship between impedance and line temperature rise. Overheating risk warning method is simulated in the paper. The simulation results shows that the method can identify the imedance and forecast the temperature rise of cable line in distribution network accurately. The result of overheating risk warning can provide decision basis for operation maintenance and repair.