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Optimal nonlinear transient control with neuro-AVR of single-machine infinite-bus power systems

机译:单机无穷大电力系统神经网络AVR最优非线性暂态控制

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In this paper, a method to design a nonlinear optimal controller using approximate solution of the HJB equation is presented. Using this method, the power system stabilizer is designed. In order to regulate generator terminal voltage to its nominal value, we use a simple neuro-automatic voltage regulator. The final control action is the sum of nonlinear optimal controller and neuro-voltage regulator. Also, the advantages of the controller with nonlinear feedback in some grounds like increasing domain of validity of the system are shown. Simulation results show that the nonlinear control action exhibits a better performance compared to that of corresponding linear counter part. As a result, the fault tolerance of the system using the nonlinear control law is increased. Also, the proposed voltage regulator, which can be trained on-line, shows satisfactory performance.
机译:本文提出了一种使用HJB方程的近似解设计非线性最优控制器的方法。使用这种方法,设计了电力系统稳定器。为了将发电机端子电压调节到其标称值,我们使用了一个简单的神经自动电压调节器。最终控制作用是非线性最优控制器和神经电压调节器的总和。此外,还显示了在某些方面具有非线性反馈的控制器的优势,例如增加了系统的有效性范围。仿真结果表明,与相应的线性配对零件相比,非线性控制作用表现出更好的性能。结果,使用非线性控制定律的系统的容错性得以提高。此外,建议的可在线培训的调压器显示出令人满意的性能。

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