Fuzzy-PID Controller Optimized TLBO Algorithm on Automatic Generation Control of a two-area Interconnected Power System

被引：0
|
作者：
Nayak, Jyoti Ranjan [1 ]
Pati, Tridipta Kumar [1 ]
Sahu, Binod Kumar [1 ]
Kar, Sanjeeb Kumar [1 ]
机构：
[1] Siksha O Anusandhan Univ, Depatment Elect Engn, Odisha, India
来源：
2015 INTERNATIONAL CONFERENCED ON CIRCUITS, POWER AND COMPUTING TECHNOLOGIES (ICCPCT-2015) | 2015年
关键词：
Automatic Generation Control (AGC); Fuzzy Proportional Integral Derivative (FPID) controller; Proportional Integral derivative Controller (PID); Teaching Learning Based Optimization (TLBO) algorithm; LOAD FREQUENCY CONTROL;
D O I：
暂无
中图分类号：
TP301 [理论、方法];
学科分类号：
081202 ;
摘要：
Design and performance analysis of load flow frequency of a two area four unit interconnected non-reheat thermal power system is depicted in this paper. Two different controllers that are fuzzy proportional integral-derivative (FPID) controller & proportional integral-derivative (PID) are used to study transient response of the proposed system. Area1 consists of two thermal generating units with non-reheat turbines as well as area2 also. The gains of FPID & PID controllers are optimized by using a novel Teaching Learning Based Optimization (TLBO) technique. Step load of 10 % is applied to area1 to study dynamic performance of different proposed controller. Finally it is observed that the FPID controller of single input configuration performs better than the other.
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页数：4
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