Title :
Online Recursive Closed-Loop State Space Model Identification for Damping Control
Author :
Ye, Hua ; Liu, Yutian
Author_Institution :
Sch. of Electr. Eng., Shandong Univ., Jinan, China
Abstract :
An online recursive closed-loop state space model identification algorithm, POEIV-MOESP, is proposed for power system damping control. Under closed-loop condition and based on wide-area measurements, reduced order state space model of the system which contains dominant low frequency oscillation modes is firstly identified by the algorithm, then recursively updated by EIV-PAST algorithm and RLS method. The model identification algorithm combing with a model predictive control is tested on the New England 10-machine 39-bus system, and the effectiveness of both the model identification algorithm and the controller are demonstrated.
Keywords :
closed loop systems; damping; power system control; power system measurement; predictive control; recursive estimation; reduced order systems; state-space methods; EIV-PAST algorithm; New England 10-machine 39-bus system; POEIV-MOESP; RLS method; damping control; dominant low frequency oscillation modes; identification algorithm; online recursive closed-loop state space model; predictive control; wide-area measurements; Control system synthesis; Damping; Frequency; Power system control; Power system measurements; Power system modeling; Power systems; Predictive models; State-space methods; Wide area measurements;
Conference_Titel :
Power and Energy Engineering Conference (APPEEC), 2010 Asia-Pacific
Conference_Location :
Chengdu
Print_ISBN :
978-1-4244-4812-8
Electronic_ISBN :
978-1-4244-4813-5
DOI :
10.1109/APPEEC.2010.5448424
