Distributed Model Predictive Control Employing Trajectory Sensitivities for Cascading Failures

Author

Wang, Xiaona ; Wu, Xusheng ; Yang, Xiaoguang ; Zai, Xiwei ; Li, Chan ; Fan, Youping

Author_Institution

Coll. of Electr. & Electron. Eng., Naval Univ. of Eng., Wuhan

fYear

2009

fDate

27-31 March 2009

Firstpage

1

Lastpage

4

Abstract

The paper introduces a new distributed model predictive control (DMPC) method employing trajectory sensitivities for the cascading failures of the complex power system. Firstly, it predictes the trajectories of the system by trajectory sensitivities. Secondly, it uses the MPC to find out the optimization control method, and activates it to eliminate the cascading failures of the large-scale power system. It simplifys the DMPC employing the trajectory sensitivities optimization control algorithms.

Keywords

power system control; power system faults; power system interconnection; power system reliability; predictive control; cascading failures; complex power system; distributed model predictive control; large-scale power system; optimization control method; trajectory sensitivities; Control systems; Optimization methods; Power system control; Power system faults; Power system modeling; Power system protection; Power systems; Predictive control; Predictive models; Trajectory;

fLanguage

English

Publisher

ieee

Conference_Titel

Power and Energy Engineering Conference, 2009. APPEEC 2009. Asia-Pacific

Conference_Location

Wuhan

Print_ISBN

978-1-4244-2486-3

Electronic_ISBN

978-1-4244-2487-0

Type

conf

DOI

10.1109/APPEEC.2009.4918288

Filename

4918288