Comparative analysis for the improvement of Transient Stability in a Power System using Multilevel Converter and SMES based UPFC

被引:0
|
作者
Sabareeshwaran, K. [1 ]
Gunapriya, D. [1 ]
机构
[1] Akshaya Coll Engn & Technol, Dept Elect & Elect Engn, Coimbatore, Tamil Nadu, India
来源
2017 IEEE INTERNATIONAL CONFERENCE ON ELECTRICAL, INSTRUMENTATION AND COMMUNICATION ENGINEERING (ICEICE) | 2017年
关键词
Artificial neural network; Fuzzy logic controller; Multilevel converter; Superconducting Magnetic energy storage; Transient stability; CONTROLLER;
D O I
暂无
中图分类号
TP39 [计算机的应用];
学科分类号
081203 ; 0835 ;
摘要
This paper presents the comparative analysis for the improvement of transient stability by using various combinations of multilevel converter fed system and super conducting magnetic energy storage system which are controlled by Artificial neural network and fuzzy logic controllers. The effective means of control is obtained by analyzing various cases in improving the transient stability. The load angle deviation of the machine play a vital role as transient stability is directly incurred with the load angle of the system. By various comparison cases it is evident that co-ordinate control of UPFC with fuzzy controlled SMES is better than other conventional methods. All the proposed methods provide an effective control of transient stability. On comparative analysis fuzzy controlled SMES is very simple and high predictive method of control and does not produce harmonics as in the multilevel converter controlled UPFC. All the cases are carried out under a three phase fault condition using the MATLAB-Software.
引用
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页数:7
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