Research on optimal outage model based on deep artificial neural network and GIS data

被引：0
作者：
Wang J. [1 ]
Zhu X. [2 ]
Zhao G. [3 ]
Liu J. [4 ]
Yang C. [4 ]
Zeng N. [1 ]
机构：
[1] Information and Communication Department of State Grid, Beijing
[2] State Key Laboratory of Information Engineering in Surveying, Mapping and Remote Sensing, Wuhan University, Wuhan
[3] Xiamen Great Power GEO Information Technology Co., Ltd., Xiamen
[4] State Grid Shenwang LBS (Beijing) Co., Ltd., Beijing
来源：
Dianli Xitong Baohu yu Kongzhi/Power System Protection and Control | 2019年 / 47卷 / 16期
关键词：
Complex large power grid; Deep neural network; GIS technology; Optimal power outage model;
D O I：
10.19783/j.cnki.pspc.181274
中图分类号：
学科分类号：
摘要：
In order to effectively utilize geographic information technology to support the information construction of complex large power grid, the impact of blackouts on power system operation and daily life, an optimal outage model based on deep artificial neural network and GIS data is proposed. Combining the particularity of power system operation, the optimal parameter setting is united with incremental feedback to optimize constrained Boltzmann algorithm. The performance of the algorithm is analyzed by simulation, and simulation results show that the optimal power outage model using deep neural network can improve the efficiency and accuracy of computation. © 2019, Power System Protection and Control Press. All right reserved.
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页码：58 / 63
页数：5
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