A Short-term Electricity Load Clustering Method Based on the Influence of the Lightning and Meteorological Factors to the Power Grid

被引：0

作者：

Xu, Yang ^{[1
]}

Jiang, Xuebao ^{[1
]}

Tong, Chong ^{[1
]}

Fu, Liudi ^{[1
]}

Miao, Jianqiang ^{[1
]}

Shi, Xujiang ^{[1
]}

Lin, Huijuan ^{[2
]}

机构：

[1] State Grid Jiangsu Elect Power Co Ltd, Suzhou Branch, Suzhou, Peoples R China

[2] Suzhou Meteorol Bur Suzhou, Suzhou, Peoples R China

来源：

2022 36TH INTERNATIONAL CONFERENCE ON LIGHTNING PROTECTION (ICLP 2022) | 2022年

关键词：

lightning; electricity load prediction; load clustering; cluster center searching;

D O I：

暂无

中图分类号：

TM [电工技术]; TN [电子技术、通信技术];

学科分类号：

0808 ; 0809 ;

摘要：

Flexible control and adjustment of the operation mode is considered to be an available strategy to deal with the lightning damage to the smart grid, and the precondition of the fast control is the accurate prediction of both the power source and the loads in the system. In this paper, a short-term load clustering method is proposed based on the different performance of the loads under external environment factors. With this method, the electricity loads will be sorted into different types automatically based on their performance in lightning weather, and independent and diversified load models will be provided to enhance the accuracy of the analysis and prediction of electricity loads.

引用

页码：675 / 678

页数：4

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