Title :
A consensus approach to dynamic state estimation for smart grid power systems
Author :
Alvergue, Luis ; Bixiang Tang ; Guoxiang Gu
Author_Institution :
Sch. of Electr. Eng. & Comput. Sci., Louisiana State Univ., Baton Rouge, LA, USA
Abstract :
We propose a distributed dynamic state estimator based on the multi-agent system (MAS) framework and on the availability of supervised control and data acquisition (SCADA) systems. We assume that the power system is modeled by a linear DC power flow model and is operating in a quasi-steady state. The phase angle at the network buses is modeled as a heterogeneous MAS with discrete time dynamics. Conditions on the existence of a distributed estimator are derived and a solution is proposed to construct the estimator gain.
Keywords :
SCADA systems; power system measurement; power system simulation; smart power grids; state estimation; SCADA system; distributed dynamic state estimation; linear DC power flow model; multiagent system; network bus; phase angle; quasisteady state operation; smart grid power systems; supervised control and data acquisition; Eigenvalues and eigenfunctions; Estimation; Laplace equations; Power measurement; Power system dynamics; Vectors;
Conference_Titel :
Intelligent Control and Automation (WCICA), 2014 11th World Congress on
DOI :
10.1109/WCICA.2014.7052708
