Research on optimal outage model based on deep artificial neural network and GIS data
DOI:10.19783/j.cnki.pspc.181274
Key Words:optimal power outage model  GIS technology  deep neural network  complex large power grid
Author NameAffiliation
WANG Jiye Information and Communication Department of State Grid, Beijing 100031, China 
ZHU Xinyan State Key Laboratory of Information Engineering in Surveying, Mapping and Remote Sensing, Wuhan University, Wuhan 430072, China 
ZHAO Guang Xiamen Great Power GEO Information Technology Co., Ltd., Xiamen 361009, China 
LIU Jinchang State Grid Shenwang LBS Beijing Co., Ltd., Beijing 102211, China 
YANG Chengyue State Grid Shenwang LBS Beijing Co., Ltd., Beijing 102211, China 
ZENG Nan Information and Communication Department of State Grid, Beijing 100031, China 
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Abstract: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. This work is supported by National High-tech R & D Program of China (863 Program) (No. 2011AA05A116) and Science and Technology Project of State Grid Corporation of China (No. KJ00-01-08-02).
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