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A robust Multi Verse Optimized fuzzy aided tilt Controller for AGC of hybrid Power System

机译:用于AGC的混合动力系统AGC的鲁棒多VERSE优化模糊辅助控制器

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The research work employs a robust fuzzy aided tilt controller as secondary frequency control loop to obtain stability in frequency and active power of a hybrid power network under different loadings. A novel multi verse optimization (MVO) technique has been proposed to choose best optimal parameters of suggested fuzzy tilt controller. The automation of power generation irrespective of demand is called automatic generation control (AGC) and has great impact over system stability. The study goes through different comparative studies such as technique comparison and controller comparison to defend superiority of proposed MVO algorithm and suggested tilt fuzzy controller. The research study on AGC has been carried in MATLAB smulink environment. An advanced fitness function called integral of time multiplied absolute error (ITAE) has been suggested to develop improved performance of the system under different disturbances. It has been concluded that projected MVO oriented fuzzy tilt controller shows outstanding performance for governing active power generation of the proposed hybrid system.
机译:研究工作采用强大的模糊辅助倾斜控制器作为二次频率控制回路,以在不同负载下获得混合动力网络的频率和有功功率的稳定性。已经提出了一种新型的多韵的优化(MVO)技术来选择建议模糊倾斜控制器的最佳最佳参数。发电的自动化,无论需求如何称为自动生成控制(AGC),对系统稳定性产生很大影响。该研究经过不同的比较研究,例如技术比较和控制器比较,以防御所提出的MVO算法的优越性,并提出了倾斜模糊控制器。对AGC的研究研究已在Matlab粉刷环境中进行。已经提出了一种称为时间乘以绝对误差(ITAE)的高级健身功能,以在不同干扰下发挥系统的改进性能。已经得出结论,投影的MVO定向模糊倾斜控制器显示出用于控制拟议混合系统的有源发电的出色性能。

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