Electric grid state estimators for distribution systems with microgrids

Author

Huang, Jing ; Gupta, Vijay ; Huang, Yih-Fang

Author_Institution

Dept. of Electr. Eng., Univ. of Notre Dame, Notre Dame, IN, USA

fYear

2012

fDate

21-23 March 2012

Firstpage

1

Lastpage

6

Abstract

In the development of smart grid, state estimation in distribution systems will likely face more challenges than that at the transmission level. This paper addresses one of such challenges, namely, the absence of topology information, by developing a forecast-aided topology change detection method and an event-triggered recursive Bayesian estimator to identify the correct topology. Simulation studies with microgrid induced changes are presented to illustrate the effectiveness of the proposed algorithm.

Keywords

Bayes methods; distributed power generation; load forecasting; power distribution; power system state estimation; recursive estimation; smart power grids; distribution systems; electric grid state estimators; event-triggered recursive Bayesian estimator; forecast-aided topology change detection method; microgrids; smart grid development; transmission level; Electronic mail; Gain measurement; State estimation; Topology; Distribution system state estimation; forecasting-aided state estimation; microgrid; recursive Bayesian estimation; unscented Kalman filter;

fLanguage

English

Publisher

ieee

Conference_Titel

Information Sciences and Systems (CISS), 2012 46th Annual Conference on

Conference_Location

Princeton, NJ

Print_ISBN

978-1-4673-3139-5

Electronic_ISBN

978-1-4673-3138-8

Type

conf

DOI

10.1109/CISS.2012.6310739

Filename

6310739