Nonlinear Prediction Control of Synchronous Generator Excitation Based on Subsection Approximation

Abstract:

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.

• Periodical: Advanced Materials Research (Volume 590)
• Pages: 155-160
• DOI: https://doi.org/10.4028/www.scientific.net/AMR.590.155
• Online since: November 2012
• Authors: Hong Shan Zhao, Xiao Ming Lan, Yu Si Zhao, Yang Xia
• Keywords: Multi-Machine Power System, Nonlinear Model Predictive Control, Subsection Approximation, Voltage Control

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