Type-2 Fuzzy Logic based on PID controller for AGC of Two-Area with Three Source Power System including Advanced TCSC

被引:12
作者
Ben Meziane, Khaddouj [1 ]
Naoual, Rachid [1 ]
Boumhidi, Ismail [2 ]
机构
[1] Higher Inst Engn & Business ISGA, Dept Engn, Fes, Morocco
[2] Univ Sidi Mohamed Ben Abdellah, Fac Sci, Dept Phys, LESSI Lab, Fes 30000, Morocco
来源
SECOND INTERNATIONAL CONFERENCE ON INTELLIGENT COMPUTING IN DATA SCIENCES (ICDS2018) | 2019年 / 148卷
关键词
Two-area with three source power system; Automatic generation control; Advanced TCSC; Interval type-2 fuzzy logic controller; Oscillation damping; PID controller; AUTOMATIC-GENERATION CONTROL; LOAD-FREQUENCY CONTROL; ALGORITHM; OPTIMIZATION; DESIGN;
D O I
10.1016/j.procs.2019.01.058
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
In This paper, we propose the Interval type-2 fuzzy logic based on the Proportional Integral Derivative (IT2FL-PID) controller for Automatic Generation Control (AGC) of two-area interconnected power system composed by the three source having thermal, hydro and gas units, in coordination with Advanced Thyristor Controlled Series Capacitor (ATCSC) to improve sufficiently the dynamic stability. The IT2FL is able to model uncertainty and imprecision, is applied in order to adjust the parameters of PID controller. The ATCSC associated with two lead-lag blocks is modeled by the Taylor series expansion method. However, sensitivity analysis of the system is studied which demonstrates the capacity of the proposed controllers to wide changes in system parameters and loading condition. In order to verify the effectiveness of the proposed controllers, all the simulation results show that the IT2FL-PID controller coordinate with ATCSC provides better response and robust stability for two-area with three source power systems. (C) 2019 The Authors. Published by Elsevier B.V.
引用
收藏
页码:455 / 464
页数:10
相关论文
共 20 条
[1]  
Abraham RJ, 2011, J ELECTR SYST, V7, P71
[2]   Comparative performance analysis of teaching learning based optimization for automatic load frequency control of multi-source power systems [J].
Barisal, A. K. .
INTERNATIONAL JOURNAL OF ELECTRICAL POWER & ENERGY SYSTEMS, 2015, 66 :67-77
[3]   Evolutionary computing for topology optimization of type-2 fuzzy systems [J].
Castillo, Oscar ;
Martinez, Alma Isabel ;
Martinez, Alma Cristina .
ANALYSIS AND DESIGN OF INTELLIGENT SYSTEMS USING SOFT COMPUTING TECHNIQUES, 2007, 41 :63-+
[4]   A review on interval type-2 fuzzy logic applications in intelligent control [J].
Castillo, Oscar ;
Melin, Patricia .
INFORMATION SCIENCES, 2014, 279 :615-631
[5]   Gravitational search algorithm for coordinated design of PSS and TCSC as damping controller [J].
Eslami, M. ;
Shareef, H. ;
Mohamed, A. ;
Khajehzadeh, M. .
JOURNAL OF CENTRAL SOUTH UNIVERSITY, 2012, 19 (04) :923-932
[6]   Application of GA optimization for automatic generation control design in an interconnected power system [J].
Golpira, H. ;
Bevrani, H. ;
Golpira, H. .
ENERGY CONVERSION AND MANAGEMENT, 2011, 52 (05) :2247-2255
[7]  
Ibraheem, 2012, ELECT POWER ENERGY S, V55, P297
[8]  
Imam R., 2009, INT J ELECT ELECT EN, V3, P593
[9]  
Juang CF, 2004, IEEE INT CONF FUZZY, P715
[10]  
Li PK, 2002, 2002 IEEE REGION 10 CONFERENCE ON COMPUTERS, COMMUNICATIONS, CONTROL AND POWER ENGINEERING, VOLS I-III, PROCEEDINGS, P1818