Reliability Analysis of Distribution Network Operation Based On Short-Term Future Big Data Technology

Autor:	Zhixiang Tao, Cong Yu, Peihao Yang, Feiruo Xi, Zhe Jing, Fengzhi Wu
Rok vydání:	2020
Předmět:	History Distribution networks business.industry Computer science Big data business Reliability (statistics) Computer Science Applications Education Reliability engineering Term (time)
Zdroj:	Journal of Physics: Conference Series. 1584:012027
ISSN:	1742-6596 1742-6588
Popis:	This paper firstly establishes a four-dimensional index system for distribution network operation reliability. Using principal component analysis method, it extracts the main evaluation indicators from a large amount of data, and analyzes the influencing factors of the indicators according to the main evaluation indicators. According to the parallel association rules The method establishes the relevant model, and extracts the main indicators of operational reliability and the strong correlation rules between each influencing factors, so as to obtain the main influencing factors. The artificial neural network is proposed to predict, based on historical data and real-time data. The main influencing factors are used as the input and output of the forecast, and the output is expressed by the main evaluation index, and the operational reliability index for a period of time is judged. The calculation of the proposed strategy can quickly and effectively predict the operational reliability of the distribution network.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_________::c1c15f39fab78365a5c01ada0c1bee3d https://doi.org/10.1088/1742-6596/1584/1/012027 Zobrazit plný text záznamu