Design of a Proportional-Integral-Derivative Controller for an Automatic Generation Control of Multi-area Power Thermal Systems Using Firefly Algorithm

K.Jagatheesan; B.Anand; Sourav Samanta; Nilanjan Dey; Amira S.Ashour; Valentina E.Balas

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Design of a Proportional-Integral-Derivative Controller for an Automatic Generation Control of Multi-area Power Thermal Systems Using Firefly Algorithm

机译：基于萤火虫算法的多区域电力热力发电系统自动发电控制的比例积分微分控制器设计

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Essentially,it is significant to supply the consumer with reliable and sufficient power.Since,power quality is measured by the consistency in frequency and power flow between control areas.Thus,in a power system operation and control,automatic generation control (AGC) plays a crucial role.In this paper,multi-area (Five areas:area 1,area 2,area 3,area 4 and area 5) reheat thermal power systems are considered with proportional-integral-derivative (PID) controller as a supplementary controller.Each area in the investigated power system is equipped with appropriate governor unit,turbine with reheater unit,generator and speed regulator unit.The PID controller parameters are optimized by considering nature bio-inspired firefly algorithm (FFA).The experimental results demonstrated the comparison of the proposed system performance (FFA-PID) with optimized PID controller based genetic algorithm (GAPID) and particle swarm optimization (PSO) technique (PSO-PID) for the same investigated power system.The results proved the efficiency of employing the integral time absolute error (ITAE) cost function with one percent step load perturbation (1％ SLP) in area 1.The proposed system based FFA achieved the least settling time compared to using the GA or the PSO algorithms,while,it attained good results with respect to the peak overshoot/undershoot.In addition,the FFA performance is improved with the increased number of iterations which outperformed the other optimization algorithms based controller.

机译：从本质上讲，为用户提供可靠和充足的电力非常重要。因此，电能质量是通过控制区域之间频率和潮流的一致性来衡量的。因此，在电力系统的运行和控制中，自动发电控制（AGC）发挥着重要作用。本文将比例积分微分（PID）控制器作为辅助控制器，考虑多区域（五个区域：1区，2区，3区，4区和5区）再热火电系统。在被调查的电力系统中的每个区域都配备了合适的调速器单元，带再热器单元的涡轮机，发电机和调速器单元.PID控制器参数通过考虑自然生物启发性萤火虫算法（FFA）进行了优化。实验结果表明了这种比较相同研究电源系统的基于优化PID控制器的遗传算法（GAPID）和粒子群优化（PSO）技术（PSO-PID）的拟议系统性能（FFA-PID）的比较结果表明，在区域1中使用积分时间绝对误差（ITAE）成本函数和1％的阶跃负载扰动（1％SLP）的效率较高。与使用GA或FGA相比，基于FFA的拟议系统可实现最少的建立时间。 PSO算法在峰值过冲/下冲方面取得了良好的效果。此外，随着迭代次数的增加，FFA性能得到了改善，优于其他基于控制器的优化算法。

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《自动化学报（英文版）》 |2019年第2期|503-515|共13页
作者
K.Jagatheesan; B.Anand; Sourav Samanta; Nilanjan Dey; Amira S.Ashour; Valentina E.Balas;
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Department of Electrical & Electronics Eng.,Mahendra Institute of Eng.& Tech., Namakkal, Tamilnadu, India;

Department of Electrical & Electronics Eng., Hindusthan College of Eng.& Tech., Coimbatore, Tamilnadu, India;

Department of Computer Science & Engineering, University Institute of Technology,The University of Burdwan,Burdwan, West Bengal, India;

Department of Information Technology, Techno India College of Technology, Kolkata, India;

Department of Electronics and Electrical Communications Engineering, Faculty of Engineering, Tanta University, Egypt;

Faculty of Engineering, Aurel Vlaicu University of Arad, Romania;

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正文语种 eng
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Design of a Proportional-Integral-Derivative Controller for an Automatic Generation Control of Multi-area Power Thermal Systems Using Firefly Algorithm

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