A Generalized Fast Decomposition State Estimation Method

Abstract

The invention provides a generalized fast decoupled state estimation method. The generalized fast decoupled state estimation method includes steps of transforming measured quantities to obtain similarly active measured quantities and similarly reactive measured quantities and further acquiring Jacobian matrixes of measurement equations and iterative equations; proposing generalized fast decoupledstate estimation models on the basis of the Jacobian matrixes and solving the generalized fast decoupled state estimation models by the aid of Newton processes to obtain state variable estimation values. The Jacobian matrixes are represented by the similarly active measured quantities and the similarly reactive measured quantities. The generalized fast decoupled state estimation method has the advantages that as shown by analysis of samples, the generalized fast decoupled state estimation method is excellent in adaptability to power transmission networks and power distribution networks, and branch current magnitude value measurement can be used for the generalized fast decoupled state estimation method; as verified by simulation examples, the generalized fast decoupled state estimation method is good in convergence, extremely high in computational efficiency and suitable for online application to large-scale networks.

Description

technical field [0001] The invention belongs to the technical field of power system scheduling automation, and in particular relates to a generalized fast decoupled state estimation method (Fast Decoupled State Estimator, FDSE). Background technique [0002] With the continuous expansion of the grid scale and the development of smart grid and energy Internet, more and more massive data need to be processed in a timely manner. State Estimation (SE) as a data filter will continue to play the role of the cornerstone of safe and stable operation, and will have higher requirements for computing performance. The earliest proposed SE method is the Weighted Least Square (WLS) method based on maximum likelihood estimation. WLS is widely used because of its simplicity and good convergence. In order to further improve the computational efficiency of WLS, inspired by the decoupling idea of ​​power flow calculation, the researchers proposed a fast decoupled state estimation method (Fas...

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Problems solved by technology

However, it should be noted that FDSE, which relies on three preconditions, has the following limitations: (1) When the network parameters (such as high R / X ratio) and operating conditions are not satisfied with the decoupling conditions, FDSE may not converge; ( 2) FDSE cannot use branch current magnitude measurements (BCMMs), which affects the estimation accuracy and even leads to unsatisfactory observability, especially for distribution networks with a large number of BCMMs

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