Application of meteorological numerical forecast technology for improving transmission line capability

被引：0
|
作者：
Zhou H. [1 ]
Chen Z. [2 ]
Zhang J. [3 ]
Ding Y. [1 ]
Zhao K. [1 ]
机构：
[1] State Grid Electric Power Research Institute, Nanjing, 210000, Jiangsu Province
[2] Electric Power Research Institute of Jiangsu Electric Power Co., Ltd., Nanjing, 211100, Jiangsu Province
[3] Taihu Basin Authority, Hongkou District, Shanghai
来源：
| 1600年 / Power System Technology Press卷 / 40期
关键词：
Current carrying capacity; Heat balance equation; Numerical grid point prediction; Power system;
D O I：
10.13335/j.1000-3673.pst.2016.07.036
中图分类号：
学科分类号：
摘要：
Aiming at maximum carrying capacity calculation of electric transmission line under safety conditions, this article proposes a method for maximum flow calculation of electric transmission line based on meteorological numerical grid point prediction product. This method firstly uses meteorological numerical value output from mesoscale weather research and forecasting model (WRF) mode to forecast 1-36 h environment values of calculation grid points mapping long-distance transmission line, and then utilizes heat balance equation of electrical transmission line to calculate predicted maximum carrying capacity values of transmission line calculation datum point, and calculates predicted maximum carrying capacity value of whole line, to realize calculation of predicted 1-36 h maximum carrying capacity value of transmission line. According to calculation result, when fully meeting safety conditions of electric transmission line, transmission line current carrying capacity dispatched with this method is greatly increased for daily dispatched current carrying capacity. Even in condition of yearly peak loading, this method has about 30% optimizing space. This effectively solves problems such as transmission line safe capacity increase and power grid optimal operation strategy. This method, with advantages of small predicting time granularity and long forecast period, is applicable to trans-regional large scale grid. © 2016, Power System Technology Press. All right reserved.
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页码：2175 / 2178
页数：3
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