A Model Free Estimation Based Neurocontroller for Synchronous Generator Excitation to Enhance Transient Stability

Author(s):  
Abdul Ghani Abro ◽  
Junita Mohamad-Saleh
Author(s):  
Haitham Saad Mohamed Ramadan ◽  
Mohamed Becherif

Abstract This paper addresses the transient stability problem in power systems of nonlinear character. A recursive nonlinear backstepping controller for improving the single machine infinite bus system’s dynamic behavior is proposed for the system global stabilization considering the network transfer conductances. Despite parameters uncertainties, nonlinear dynamics and/or disturbances, the feedback laws based on the backstepping approach are explicitly derived and the conservatism of the stability property is guaranteed for both lossy and lossless power system representations. Simulation results, via MATLAB™-Simulink, reveal that the proposed backstepping technique can be feasibly designed to ensure significant dynamic performance enhancements.


2012 ◽  
Vol 590 ◽  
pp. 155-160
Author(s):  
Hong Shan Zhao ◽  
Xiao Ming Lan ◽  
Yu Si Zhao ◽  
Yang Xia

This paper presents a subsection approximate nonlinear model predictive control (SANMPC) method for synchronous generator excitation control in the regional power grid. The proposed SANMPC considers the voltage as the reference trajectories and the change range of active power, reactive power and voltage as unequal constraints. Segmenting for a sampling interval, it uses sampled values and the control input initial value at the current sampling moment to predict the state at each segment by the Explicit Euler method. The predictive equations of the next sampling moment can be obtained by the predictive state and the control input at the penultimate segment, and form the optimal control problem which may be solved by the interior-point method. We take advantage of a four-machine power system to verify the effectiveness of the proposed SANMPC method under MATLAB platform. The simulating results show that the SANMPC method is simple and efficient, and greatly improves the transient stability compared with the conventional controller both.


2016 ◽  
Vol 136 (1) ◽  
pp. 18-24
Author(s):  
Daisuke Hiramatsu ◽  
Yoichi Uemura ◽  
Dai Nozaki ◽  
Shinji Mukoyama ◽  
Kazuma Tsujikawa ◽  
...  

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