Power distribution network affine state estimation method

Abstract

The invention relates to a power distribution network affine state estimation method. Photovoltaic power generation and wind power generation-containing distributed power supply output uncertainty andload fluctuation uncertainty intervals are converted to an affine number form to serve as node injection uncertainty power; SCADA data are aligned with the muPMU data in consideration of time delay,and the SCADA data are predicted by using an adaptive coefficient exponential smoothing method and are used as supplementary pseudo measurement data to be fused with the muPMU data; and an affine number model with the SCADA system and the node injection uncertainty power is used for upper-layer state estimation, the affine number result of the upper-layer state estimation is combined with the aligned muPMU real-time measurement to form a power distribution network lower-layer state estimation model of linear hybrid measurement, the directly solved affine number result is converted into an interval number to obtain a state estimation result narrower than the interval state estimation, and the result is no longer conservative. According to the method, the uncertainty of the output of the distributed power supply is fully considered in the power distribution network, and the state of the power distribution network is described by replacing a determined value with a narrower interval stateestimation result.

Description

technical field [0001] The invention relates to the field of distribution network state estimation, in particular to a distribution network affine state estimation method. Background technique [0002] With the rapid development of renewable energy, energy storage, electric vehicles and other interactive energy facilities, the generation of various high-penetration distributed power sources is connected to the grid, making the traditional one-way radial distribution network gradually transformed into multi-energy power supply. system. However, distributed power output is intermittent and random, and the strong uncertainty of its injected power brings challenges to the real-time state estimation of the distribution network. The state estimation of the distribution network needs to further consider more uncertain factors; and the State Grid The construction of the ubiquitous power Internet of Things proposed by the company includes the perception layer of the power Internet o...

AI Technical Summary

Problems solved by technology

[0005] The purpose of the present invention is to provide a distribution network affine state estimation method to solve the traditional interval calculation, ignore the correlation between variables, and the inevitable "error explosion" phenomenon in the operation process, resulting in interval expansion , the obtained results are too conservative to reflect the real state of the structure

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