Adaptive robust state estimation method for power system

Abstract

The invention discloses an adaptive robust state estimation method for a power system, which deduces and estimates according to a time sequence, and comprises the following steps of: firstly, positioning a suspicious measurement area of the power system through a fuzzy c-means clustering algorithm, and if suspicious measurement does not exist in a measurement set at the current moment, performing weighted least square (WLS)-based estimation on the measurement at the current moment, and if suspicious measurement exists in the measurement set at the current moment, performing dynamic partitioning on the power grid based on the spatial distribution of the suspicious measurement, and then respectively selecting a least square estimation criterion and a minimum absolute value estimation criterion for a normal measurement region and a suspicious measurement region; and solving a power system state estimation problem based on an alternating multiplier (ADMM) decoupling coordination algorithm. Aiming at the problems of low state estimation precision and long calculation time of the large-scale power system, the method considers respective characteristics and adaptability of different estimators, selects different estimation criteria for a suspicious measurement area and a normal measurement area, and gives consideration to the calculation efficiency while ensuring the estimation precision.

Description

technical field [0001] The invention relates to a power system state estimation method, in particular to a power system adaptive robust state estimation method. Background technique [0002] State estimation is an important part of the energy management system. It can reduce the measurement error by using the measurement redundancy and obtain the optimal estimation value of the current operating state of the power system. At present, state estimation based on Weighted Least Square (WLS) has been widely used in actual power grid dispatching systems. Under the ideal condition that the system measurement noise only contains Gaussian white noise, WLS is an unbiased minimum variance estimator; however, the existence of non-Gaussian noise and gross errors in the actual power grid makes WLS iterations too many or even unable to converge, resulting in WLS Estimated results are not available. [0003] In order to solve the problems of state estimation accuracy decrease and converge...

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Problems solved by technology

[0004] Purpose of the invention: The present invention aims at the problems of low accuracy and long calculation time of state estimation in large-scale power systems, and proposes an adaptive robust state estimation method for power systems, which improves the calculation efficiency and accuracy of state estimation of power systems, and at the same time has better robustness

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