A Decentralization Method for Hybrid State Estimators

2018-03-01
Hybrid state estimation determines the states of systems monitored both by conventional SCADA measurements and PMUs. This paper proposes a decentralization method in order to improve the computational performance of hybrid state estimators with minimum loss of accuracy. The proposed method utilizes sensitivity matrix that relates measurement errors to state estimates in order to form the so-called isolated bus groups and observable subislands. Although the proposed decentralization method can be applied to any state estimator, the paper is developed using a least absolute value (LAV) estimator for demonstration purposes, which is known to be robust against bad data. The high computational burden of LAV estimator compared to the well-known weighted least squares estimator is eliminated, thanks to the proposed decentralization method.
IEEE TRANSACTIONS ON POWER SYSTEMS

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Citation Formats
M. Göl, “A Decentralization Method for Hybrid State Estimators,” IEEE TRANSACTIONS ON POWER SYSTEMS, pp. 2070–2077, 2018, Accessed: 00, 2020. [Online]. Available: https://hdl.handle.net/11511/48091.