Fuzzy PID with Filtered Derivative Mode Based Load Frequency Control of Two-Area Power System

被引：1

作者：

Shouran, Mokhtar ^{[1
]}

Anayi, Fatih ^{[1
]}

Packianather, Michael ^{[2
]}

机构：

[1] Cardiff Univ, Wolfson Ctr Magnet, Cardiff, Wales

[2] Cardiff Univ, High Value Mfg Grp, Cardiff, Wales

来源：

2021 56TH INTERNATIONAL UNIVERSITIES POWER ENGINEERING CONFERENCE (UPEC 2021): POWERING NET ZERO EMISSIONS | 2021年

关键词：

Load Frequency Control (LFC); Fuzzy Logic Control; Bees Algorithm (BA); Particle Swarm Optimization (PSO); Teaching Learning Based Optimization (TLBO); AUTOMATIC-GENERATION CONTROL; LEARNING BASED OPTIMIZATION; BEES ALGORITHM; DESIGN;

D O I：

10.1109/UPEC50034.2021.9548233

中图分类号：

TE [石油、天然气工业]; TK [能源与动力工程];

学科分类号：

0807 ; 0820 ;

摘要：

This work proposes a design of Fuzzy Proportional Integral Derivative with Filtered derivative mode (Fuzzy PIDF) having six parameters for Load Frequency Control (LFC) of a two-area interconnected power system. In order to obtain the optimal values of the proposed structure parameters, the Bees Algorithm (BA), Teaching Learning Based Optimization (TLBO), and Particle Swarm Optimization (PSO) are used to accomplish this task. A step Load Perturbation (SLP) of 0.2 pu is subjected in area one to examine the performance of the testbed system with the suggested controller equipped in both areas. The supremacy of Fuzzy PIDF is proven by comparing the results with those of previous studies for the same power system. The robustness of the proposed controller is also evidenced towards a wide range of parametric variations of the investigated system.

引用

页数：6

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