Power distribution network state estimation method based on improved generalized maximum likelihood estimation

A technique of maximum likelihood estimation and state estimation, applied in computer-aided design, calculation, electrical components, etc., can solve problems such as increasing computational complexity, achieve the effect of verifying validity and reliability, and improving accuracy

Pending Publication Date: 2021-12-28
CHINA THREE GORGES UNIV
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Problems solved by technology

On the other hand, the traditional weighted least squares (WLS) method requires additional identification procedures for bad data in state estimation, which increases the complexity of calculations

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  • Power distribution network state estimation method based on improved generalized maximum likelihood estimation
  • Power distribution network state estimation method based on improved generalized maximum likelihood estimation
  • Power distribution network state estimation method based on improved generalized maximum likelihood estimation

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Embodiment Construction

[0124] The distribution network state estimation method based on the improved generalized maximum likelihood estimation includes the following steps:

[0125] Step 1: Different from the traditional basic weighted least squares estimation method, the objective function is established by using the generalized maximum likelihood estimation criterion;

[0126] Step 2: Analyze and improve the weight function required for the objective function in the generalized maximum likelihood estimation method, and use the adaptive mapping statistics, and use the improved generalized maximum likelihood estimation method for state estimation;

[0127] Step 3: Considering the different technical characteristics of the traditional measurement system and the phasor measurement system, perform state estimation for different estimation modules, and use multi-sensor data fusion theory to fuse the obtained estimation results to obtain the optimal estimated value;

[0128] Step 4: Combine the improved ...

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Abstract

According to a power distribution network state estimation method based on improved generalized maximum likelihood estimation, in consideration of the complexity that a basic weighted least square estimation method needs to increase a bad data identification program, the robustness of an estimation model is enhanced by adopting GM estimation. The improved GM estimation method is applied to state estimation by analyzing and improving a weight function used by a target function in GM estimation and using a self-adaptive mapping statistical value. The characteristic that a traditional measurement system and a phasor measurement system are different in technology in the aspects of measurement channels and instrument sampling rates is considered, and state estimation is carried out on two different estimation modules by fully utilizing phasor measurement data on the basis of a traditional state estimator. Fusion processing is performed on the obtained estimation results by utilizing a multi-sensor data fusion theory so as to obtain an optimal estimation value. Simulation analysis is carried out based on an improved IEEE 14-node power distribution network system, and the effectiveness and reliability of the improved GM estimation and estimation fusion system are verified. The method can effectively improve the estimation precision of the state distribution network.

Description

technical field [0001] The invention relates to the field of distribution network state estimation, in particular to a distribution network state estimation method based on improved generalized maximum likelihood estimation. Background technique [0002] With the large-scale access of various distributed power sources and electric vehicle charging loads to the distribution network, the structure and operation of the distribution network are becoming increasingly complex. The distribution network state estimation is in a fundamental position in the distribution management system, and its results can provide credible data for optimal power flow, reactive power optimization and various advanced applications in the distribution management system. State estimation is a method of filtering. It utilizes the redundant information of the measurement system to improve the accuracy of measurement data, eliminate the interference of bad data, and reliably estimate the operating state of...

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06Q10/04G06Q50/06G06K9/62G06F30/20H02J3/00G06F111/08G06F113/04
CPCG06Q10/04G06Q50/06G06F30/20H02J3/00H02J2203/20G06F2113/04G06F2111/08G06F18/2321Y02E40/70Y02E60/00Y04S10/22
Inventor 徐艳春王格汪平
Owner CHINA THREE GORGES UNIV
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