Title :
A new topology error detection approach for power system state estimation
Author :
Gou, Bei ; Cheng, Yunzhi ; Wu, Weibiao
Author_Institution :
Energy Syst. Res. Center, Univ. of Texas at Arlington, Arlington, TX
Abstract :
The convergence property of state estimation is a critical issue for its following security assessment functions in energy management system. This paper studies the convergence property of the commonly used weighted least square (WLS) approach for the variations of load levels and system sizes. A new robust bad data processing approach is presented for the purpose of convergence and robustness in this paper. A comparison of robustness between WLS and the proposed approach has been performed. Numerical tests on IEEE 188 bus system and a real system with 5145 bus have been conducted for illustration of the proposed approach.
Keywords :
energy management systems; least squares approximations; power system security; power system state estimation; IEEE 188 bus system; bad data processing approach; energy management system; power system state estimation; security assessment functions; topology error detection; weighted least square approach; Convergence; Data processing; Data security; Energy management; Least squares methods; Power system security; Power systems; Robustness; State estimation; Topology; Weighted least square (WLS); bad data; blackouts; measurement redundancy; reliability; robustness; state estimation; topology errors; tree;
Conference_Titel :
Power and Energy Society General Meeting - Conversion and Delivery of Electrical Energy in the 21st Century, 2008 IEEE
Conference_Location :
Pittsburgh, PA
Print_ISBN :
978-1-4244-1905-0
Electronic_ISBN :
1932-5517
DOI :
10.1109/PES.2008.4596047
