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Load frequency control problem in interconnected power systems using robust fractional PIλD controller
DOI:10.1016/j.asej.2015.10.004.png)
摘要
En 中文
In this paper, a robust Fractional Order (PID)-D-lambda controller that contains an integral fraction action and a simple filtered derivative action, is investigated on Automatic Generation Control (AGC) of a three areas reheat-thermal system. For more realistic study some nonlinear constraints have been introduced such as Governor Dead Band (GDB), Generation Rate Constraints (GRC) and boiler dynamics. The optimal controller parameters are tuned through new evolutionary algorithm known as Differential Evolution (DE) algorithm by minimizing the Integral of Squared Error (ISE) index. Obtained results reveal clearly the superiority of the investigated controller compared to the other controllers such as PID, PID mu and (PID mu)-D-lambda in terms of the performance index, peak overshoots, peak undershoots and settling time. Effectiveness and rapidity of the DE algorithm in the convergence have been shown and compared to Genetic Algorithm (GA). Finally, robustness analysis against higher degree of load disturbance and sever parametric variation demonstrates the effectiveness of the investigated controller. (C) 2015 Faculty of Engineering, Ain Shams University. Production and hosting by Elsevier B.V.
Keyword:
Load frequency control
Fractional controller
Differential Evolution Algorithm
Nonlinearities
Integral of Squared Error
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期刊
IF:
5.9
论文数:
3.4K
被引数:
1.2W
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引用论文
Solution to automatic generation control problem using firefly algorithm optimized IλDμ controller
ISA TRANSACTIONS
IF6.5
Application of firefly algorithm with online wavelet filter in automatic generation control of an interconnected reheat thermal power system在线小波滤波萤火虫算法在互联再热火电系统自动发电控制中的应用

