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

M. Yazdanpanah, Mahdi Jalili Kharaajoo
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引用次数: 6

Abstract

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.
单机无穷母线电力系统的神经- avr最优非线性暂态控制
本文提出了一种利用HJB方程的近似解来设计非线性最优控制器的方法。利用该方法对电力系统稳定器进行了设计。为了将发电机端电压调节到标称值,我们使用了一个简单的神经自动电压调节器。最终的控制作用是非线性最优控制器和神经电压调节器的总和。同时指出了非线性反馈控制器在增加系统有效性域等方面的优点。仿真结果表明,与相应的线性对抗部分相比,非线性控制动作表现出更好的性能。结果表明,该非线性控制律提高了系统的容错性。此外,所设计的稳压器具有良好的在线训练性能。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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