Details

Autor(en) / Beteiligte

• Zheng, Weiye
• Wu, Wenchuan
• Gomez-Exposito, Antonio
• Zhang, Boming
• Guo, Ye

Titel

Distributed Robust Bilinear State Estimation for Power Systems with Nonlinear Measurements

Ist Teil von

• IEEE transactions on power systems, 2017-01, Vol.32 (1), p.499-509

Ort / Verlag

New York: IEEE

Erscheinungsjahr

2017

Quelle

IEEE Xplore

Beschreibungen/Notizen

• This paper proposes a fully distributed robust bilinear state-estimation (D-RBSE) method that is applicable to multi-area power systems with nonlinear measurements. We extend the recently introduced bilinear formulation of state estimation problems to a robust model. A distributed bilinear state-estimation procedure is developed. In both linear stages, the state estimation problem in each area is solved locally, with minimal data exchange with its neighbors. The intermediate nonlinear transformation can be performed by all areas in parallel without any need of inter-regional communication. This algorithm does not require a central coordinator and can compress bad measurements by introducing a robust state estimation model. Numerical tests on IEEE 14-bus, 118-bus benchmark systems, and a 1062-bus system demonstrate the validity of the method.