Combined load frequency and terminal voltage control of power systems using moth flame optimization algorithm

被引:4
作者
Deepak Kumar Lal
Ajit Kumar Barisal
机构
[1] VSSUT,Department of Electrical Engineering
关键词
Automatic voltage regulator; Fractional-order control; Load frequency control; Moth flame optimization; Multi-unit multi-area system;
D O I
10.1186/s43067-019-0010-3
中图分类号
学科分类号
摘要
Stability of nominal frequency and voltage level in an electric power system is the primary control issue of practicing engineers. Any deterioration in these two parameters will affect the performance and life expectancy of the associated machinery to the power system. Hence, controllers are installed and set for a specific working situation and deal with small variations in load demand to keep the frequency and terminal voltage magnitude within the permissible limits. As the system performance can be improved with selecting suitable controller, an attempt has been made to design fractional-order PID (FOPID) controller for combined frequency and voltage control problems. This paper presents plan and execution examination of FOPID controller for simultaneous load frequency and voltage control of power system using recently developed nature-motivated powerful optimization technique, i.e., moth flame optimization algorithm. The first part of the present work demonstrates the implementation of the proposed technique on frequency stabilization of isolated power system with AVR for excitation voltage control. The superiority and effectiveness of the proposed approach are tested by comparing the dynamic response of the system with PID controllers optimized by other intelligent techniques. Then the present work is extended to multi-unit two-area power system. The tuning ability of the algorithm is extensively and comparatively investigated.
引用
收藏
相关论文
共 121 条
[1]  
Kumar P(2005)Recent philosophies of automatic generation control strategies in power systems IEEE Trans Power Syst 20 346-357
[2]  
Kothari DP(1970)The megawatt frequency control problem: a new approach via optimal control theory IEEE Trans Power Appar Syst PAS-89 563-577
[3]  
Fosha CE(1970)Optimum megawatt frequency control of multi-area electric energy systems IEEE Trans Power Appar Syst PAS-89 556-563
[4]  
Elgerd OI(1986)Optimal observer design for load frequency control Int Electr Power Energy Syst 8 93-100
[5]  
Elgerd OI(1993)Robust load-frequency controller design for power systems Proc Inst Electr Eng C 140 111-116
[6]  
Fosha C(1989)An adaptive controller for power system load-frequency control IEEE Trans Power Syst 4 122-128
[7]  
Yamashita K(1994)Application of neural networks to load-frequency control in power systems Neural Netw 7 183-194
[8]  
Taniguchi T(1999)Load frequency control: a generalized neural network approach Int Electr Power Energy Syst 21 405-415
[9]  
Wang Y(2001)Automatic generation control by using ANN technique Electr Power Compon Syst 29 883-896
[10]  
Zhou R(1995)Application of fuzzy controller to automatic generation control Electr Mach Power Syst 23 209-220