GWO Algorithm Based Fuzzy-PID Controller with Derivative Filter for Load Frequency Control of Multi-Source Hydrothermal Power System

被引:1
作者
Kumar, Amit [1 ]
Suhag, Sathans [1 ]
机构
[1] NIT Kurukshetra, Elect Engn Deptt, Kurukshetra, Haryana, India
来源
PROCEEDINGS OF THE 2017 THE 5TH INTERNATIONAL CONFERENCE ON CONTROL, MECHATRONICS AND AUTOMATION (ICCMA 2017) | 2017年
关键词
Grey Wolf Optimizer; load frequency control; hydrothermal system; Fuzzy logic controller; AUTOMATIC-GENERATION CONTROL; DESIGN;
D O I
10.1145/3149827.3149841
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
In this paper, a novel Grey Wolf Optimizer (GWO) algorithm based fuzzy PID controller with derivative Filter (Fuzzy-PIDF) is proposed for load frequency control (LFC) of a two-area multisource power system with each area consisting of a reheat thermal and a hydro unit. The conventional controllers UPI and the also the PID controller with derivative filter (PIDF) are implemented for comparative analysis of the LFC performance. The superiority of the GWO algorithm is demonstrated by comparing the results of GWO optimized integral controller, as applied for LFC of the system under consideration, against some of the recently published modern heuristic optimization techniques. Among all the controllers implemented here, the proposed GWO optimized Fuzzy-PIDF controller exhibits the best performance. Modeling and simulations are carried out using Matlab/Simulink (R).
引用
收藏
页码:50 / 55
页数:6
相关论文
共 16 条
[1]   Bacteria foraging optimization algorithm based load frequency controller for interconnected power system [J].
Ali, E. S. ;
Abd-Elazim, S. M. .
INTERNATIONAL JOURNAL OF ELECTRICAL POWER & ENERGY SYSTEMS, 2011, 33 (03) :633-638
[2]   Multiobjective design of load frequency control using genetic algorithms [J].
Daneshfar, Fatemeh ;
Bevrani, Hassan .
INTERNATIONAL JOURNAL OF ELECTRICAL POWER & ENERGY SYSTEMS, 2012, 42 (01) :257-263
[3]   A Framework for Economic Load Frequency Control Design Using Modified Multi-objective Genetic Algorithm [J].
Golpira, Hemin ;
Bevrani, Hassan .
ELECTRIC POWER COMPONENTS AND SYSTEMS, 2014, 42 (08) :788-797
[4]   Load frequency control of interconnected power system using grey wolf optimization [J].
Guha, Dipayan ;
Roy, Provas Kumar ;
Banerjee, Subrata .
SWARM AND EVOLUTIONARY COMPUTATION, 2016, 27 :97-115
[5]  
Jadhav AM, 2013, INT J SWARM INTELLIG, V1, P91
[6]   Recent philosophies of automatic generation control strategies in power systems [J].
Kumar, LP ;
Kothari, DP .
IEEE TRANSACTIONS ON POWER SYSTEMS, 2005, 20 (01) :346-357
[7]   Grey Wolf Optimizer [J].
Mirjalili, Seyedali ;
Mirjalili, Seyed Mohammad ;
Lewis, Andrew .
ADVANCES IN ENGINEERING SOFTWARE, 2014, 69 :46-61
[8]   A robust self-tuning scheme for PI- and PD-type fuzzy controllers [J].
Mudi, RK ;
Pal, NR .
IEEE TRANSACTIONS ON FUZZY SYSTEMS, 1999, 7 (01) :2-16
[9]   Some new findings on automatic generation control of an interconnected hydrothermal system with conventional controllers [J].
Nanda, J ;
Mangla, A ;
Suri, S .
IEEE TRANSACTIONS ON ENERGY CONVERSION, 2006, 21 (01) :187-194
[10]   Hybrid BFOA-PSO algorithm for automatic generation control of linear and nonlinear interconnected power systems [J].
Panda, Sidhartha ;
Mohanty, Banaja ;
Hota, P. K. .
APPLIED SOFT COMPUTING, 2013, 13 (12) :4718-4730