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WAMS/SCADA Hybrid System State Estimation Algorithm with Double Constraints

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3 Author(s)
Rui Li ; Sch. of Electr. Eng., Wuhan Univ. Wuhan, Wuhan ; Yuanzhang Sun ; Han Chen

The precision of traditional power system state estimation (SE) based on supervisory control and data acquisition system (SCADA) is low. This paper aims to construct a SE objective function combined with the constraints of zero-injection nodes and wide area measurement system (WAMS) in order to improve the precision of SE, in the WAMS/SCADA hybrid system. The optimal estimation can be derived from the SE objective function with double constraints by the optimization theory of Lagrange multipliers method. A standard test system has been used to prove the efficiency and the real-time performance of the proposed method, the precision is improved and the real-time performance is similar in the certain scope comparing with the traditional SE method.

Published in:

Power and Energy Engineering Conference, 2009. APPEEC 2009. Asia-Pacific

Date of Conference:

27-31 March 2009