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.

引用

页数：4

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