Detection of Voltage Sag by Artificial Neural Network and Mitigation using DSTATCOM

被引：0
|
作者：
Singh, Mithilesh
Chacko, Sajii T.
Zadgaonkar, A. S.
机构：
来源：
2012 2ND INTERNATIONAL CONFERENCE ON POWER, CONTROL AND EMBEDDED SYSTEMS (ICPCES 2012) | 2012年
关键词：
Voltage Sag; DSTATCOM; Artificial neural networks;
D O I：
暂无
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
An important task in power system operation is to decide whether the system, at a given point of time, operates safely, critically and optimally while the system operates safely. So uninterrupted supply of high quality power to customers in a secure and economic environment is the goal of power system engineers. In this paper the voltage sag is detected by artificial neural network then trained data and neural network output simulated in neural network block set, then it will be mitigated using DSTATCOM with neural network control block. Here different aspects or power line status were considered and simulated using artificial neural network to get the response under changed operating conditions.
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页数：5
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