A fractional order fuzzy PID for load frequency control of four-area interconnected power system using biogeography-based optimization

被引:56
作者
Mohammadikia, Reza [1 ]
Aliasghary, Mortaza [1 ]
机构
[1] Urmia Univ Technol, Fac Elect & Comp Engn, POB 57155-419, Orumiyeh, Iran
关键词
biogeography-based optimization algorithm; four-area interconnected power system; fractional order controller; load frequency control; AUTOMATIC-GENERATION CONTROL; CONTROL STRATEGIES; ELECTRIC VEHICLES; SPEED CONTROL; DESIGN; PERFORMANCE; ALGORITHM; LOGIC; LFC; AGC;
D O I
10.1002/etep.2735
中图分类号
TM [电工技术]; TN [电子技术、通信技术];
学科分类号
0808 ; 0809 ;
摘要
In this study, a fractional order fuzzy proportional-integral-derivative (FOFPID) controller is designed for load frequency control of four-area interconnected power systems. The model of system consists of three reheat thermal turbine units (Area1, Area2, and Area3) and one hydro power plant (Area4). Therefore, the proposed controller (with same and different parameters) is employed for the first three zones, and different controller parameters are considered for Area4 due to existence of hydro turbine. In order to minimize frequency and power tie-line deviations in the system, biogeography-based optimization (BBO) algorithm is utilized to tune controller parameters. Finally, the proposed technique is compared with three different controllers including PID, fuzzy PID (FPID), and fractional order PID. For a fair comparison, the parameters of aforesaid controllers are also tuned by BBO algorithm. The results of different simulation cases indicate that the FOFPID controller has a superior performance and transient response compared with the other approaches against various load disturbances.
引用
收藏
页数:17
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