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Comparison of Performance Analysis of Optimal Controllers for Frequency Regulation of Three-Area Power System

机译:三面电力系统频率调节优化控制性能分析的比较

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The purpose of this paper is to present the solution of load frequency regulation problem of three-area power system comprising of thermal turbines in each control area. The controllers namely proportional integral (PI), proportional integral derivative (PID) controller, fractional order proportional integral derivative (FOPID) controller, and sliding mode controller (SMC) have been used to solve the automatic generation control problem in the present work. The gains of these controllers have been tuned using disrupted oppositional learned gravitational search algorithm (DOGS A) which exhibit the features of exploration and exploitation of the search space to obtain more optimal solution. The optimal controller gains minimize the deviations in frequency and tie-line power of the system under study. From simulation results, it has been deduced that the optimized sliding mode controller shows improved performance in terms of settling time, peak overshoot/undershoot, damping ratio and fitness function value as compared to other tuned conventional controllers.
机译:本文的目的是介绍三面积电力系统的负载频率调节问题的解决方案,包括每个控制区域中的热涡轮机。控制器即比例积分(PI),比例积分衍生物(PID)控制器,分数比例积分衍生物(FOPID)控制器以及滑动模式控制器(SMC)用于解决当前工作中的自动生成控制问题。使用中断的对立学习的引力搜索算法(狗A)进行了调整这些控制器的收益,其展示了搜索空间的勘探和利用的特征来获得更优化的解决方案。最佳控制器增益最大限度地减少了在研究下系统的频率和系线功率的偏差。从仿真结果中,已经推断出优化的滑动模式控制器在与其他调谐的传统控制器相比,在稳定时间,峰值过冲/下冲,阻尼比和适应性函数值方面显示出改善的性能。

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