Study of Hierarchical Voltage Predictive Control for Power System

Abstract:

This paper presents a hierarchical voltage predictive control (HVPC) method. In the hierarchical structure, the low-layer power system model is composed of generators, network, loads and automatic voltage regulators (AVRs) including excitation controllers, shunt capacitors and so on. Voltage predictive model which reflects global dynamic behaviors of power system and constrains of states and inputs are considered in the high-layer. It uses the least-square residual of system inputs and outputs as the objection function to establish the optimization problem of voltage predictive control. Improved interior-point method is adopted to solve the optimization problem. The optimal voltage references are obtained to coordinate AVRs in the low-layer to realize global optimum. We take advantage of IEEE New England 39-bus system to verify the effectiveness of the proposed method.

• Periodical: Applied Mechanics and Materials (Volumes 635-637)
• Pages: 1101-1104
• DOI: https://doi.org/10.4028/www.scientific.net/AMM.635-637.1101
• Online since: September 2014
• Authors: Hong Shan Zhao*, Bin Bin Wang, Xiao Ming Lan
• Keywords: Hierarchical Voltage Control, Improved Interior-Point Method, Linearization, Model Predictive Control

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