Neuro-fuzzy-based Scheme for Stator Winding Protection of Synchronous Generator

被引：13
|
作者：
Bhalja, Bhavesh [1 ]
Maheshwari, R. P. [1 ]
Nema, Saurabh [1 ]
Verma, H. K. [1 ]
机构：
[1] Indian Inst Technol, Dept Elect Engn, Roorkee 247667, Uttar Pradesh, India
来源：
ELECTRIC POWER COMPONENTS AND SYSTEMS | 2009年 / 37卷 / 05期
关键词：
artificial neural network; fuzzy logic; generator protection; FAULT DIRECTION DISCRIMINATOR; IMPLEMENTATION; DIAGNOSIS; LOGIC;
D O I：
10.1080/15325000802599403
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：
A neuro-fuzzy-based scheme for the protection and monitoring of a synchronous generator has been presented. The proposed scheme consists of two parts. In the first part, various operating states (normal operating, internal fault, and external fault states) of a synchronous generator have been simulated. Modeling of generator has been done in terms of phase quantities. In the second part (i.e., the fault-detection part), current samples from the line-side and neutral-end in addition to the samples from field current are used. An artificial neural network has been used for detecting the operating state, whereas fuzzy logic is used as a final trip decision-maker. The proposed technique has been tested extensively by using data that were generated using the PSCAD/EMTDC software package.
引用
收藏
页码：560 / 576
页数：17
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