Fuzzy multi-objective approach-based small signal stability analysis and optimal control of a PMSG-based wind turbine

Shubhranshu Mohan Parida, P. Rout, S. Kar
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Abstract

The objective of this manuscript is to design a controller to enhance the degree of stability through small signal analysis in case of a grid connected permanent magnet synchronous generator (PMSG)-based wind turbine and to ensure an optimal set of control parameters to achieve an enhanced performance. The optimal control parameters are computed by optimising the placement of system eigenvalues and net errors by formulating a fuzzy-based multi-objective approach. The idea behind the formulation of the objective function through a multi-objective approach involves the association of error with relative stability of the system through computation of the real parts of eigenvalues. To find the optimal control gains, a two-fold mutation-based differential evolution optimisation is used. Results from a MATLAB-based model are presented for validation of the proposed technique to demonstrate the system stability when subjected to wind speed variation.
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基于模糊多目标方法的pmsg风力发电机组小信号稳定性分析与最优控制
本文的目的是设计一种控制器,通过对并网永磁同步发电机(PMSG)风力涡轮机的小信号分析来增强稳定性,并确保一组最优的控制参数来实现增强的性能。通过建立基于模糊的多目标方法,通过优化系统特征值和净误差的位置来计算最优控制参数。通过多目标方法表达目标函数背后的思想涉及通过计算特征值的实部来将误差与系统的相对稳定性联系起来。为了找到最优的控制增益,使用了基于两倍突变的差分进化优化。基于matlab的模型结果验证了所提出的技术,以证明系统在风速变化时的稳定性。
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