Robust state estimation method used for multi-voltage-class power grid model

Abstract

The invention relates to a robust state estimation method used for a multi-voltage-class power grid model. The method comprises the steps that the power grid model is read and SCADA measuring is conducted; network topology analysis is conducted and the physical power grid model is converted into a bus-branch calculation model; an active weighting Jacobi matrix Ra-1 / 2Ba and a reactive calculation weighting Jacobi matrix Rr-1 / 2Br are established and an active coefficient matrix A and a reactive coefficient matrix B are calculated; an upper triangular matrix L of the active coefficient matrix and an upper triangular matrix L1 of the reactive coefficient matrix are obtained through orthogonal transformation and state estimation iterative solving is conducted; the measuring residual error vi is calculated, a measuring type reference value Si is selected, and the remote measuring estimated value error |vi| / Si is calculated; a measuring weight factor is calculated, whether measuring located in a downgrading region or an elimination region exists or not is judged, and if not, state estimation calculation ends; if yes, measuring weighting matrixes Ra-1 and Rr-1 are corrected according to the measuring factor, the weighting Jacobi matrixes Ra-1 / 2Ba and Rr-1 / 2Br are regenerated, A and B are calculated and the step (4) is returned to.

Description

technical field [0001] The invention relates to a method for estimating a tolerance state, in particular to a method for estimating a tolerance state for a multi-voltage level grid model. Background technique [0002] With the construction and development of the smart grid, the scale of the grid is getting larger and the grid modeling is more refined. The online analysis and calculation of the power system, especially the state estimation calculation, has brought new challenges. How to balance the calculation accuracy and calculation speed In this respect, improving the state estimation algorithm, quickly and accurately calculating the real-time operating status of the entire large power grid, and providing accurate and reliable data sources for other various analysis applications has become a new problem faced by large power grid state estimation calculations. Therefore, the robust state estimation model and algorithm with stronger bad data identification ability, higher ca...

AI Technical Summary

Problems solved by technology

The existing robustness state estimation based on the IGG weight function method uses the absolute value of the measurement residual as the basis for judging whether to carry out weight reduction processing, and does not distinguish between measurements with different characteristics at different voltage levels. The bad data identification ability of equipment measurement or small capacity equipment measurement is limited

[0004] In addition, in the iterative process of solving the mathematical model of robust state estimation, it is necessary to re-establish the weighted Jacobian matrix and orthogonal decomposition according to the weight adjustment. Therefore, the calculation efficiency of the robust least squares state estimation based on the principle of equivalent weight The traditional weighted least squares method has declined, which limits the practical application of this algorithm in the field of online analysis

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