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Two-factor robust Bayesian power distribution network state estimation method based on uncertainty improvement

A technology of Bayesian estimation and state estimation, which is applied to AC networks with the same frequency from different sources, computing, photovoltaic power generation, etc., can solve the problems of large-scale configuration of the distribution network and gross error of the active distribution network, etc., to achieve Calculate the effect of reliable convergence, reduced influence, and optimized mathematical expressions

Active Publication Date: 2020-10-09
CHINA THREE GORGES UNIV
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Problems solved by technology

Although new high-precision measurement devices such as PMU can provide high-precision measurement data, due to technical and economical reasons, they still cannot be deployed on a large scale in the distribution network, which leads to the inevitable state estimation of the active distribution network. objective gross error

Method used

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  • Two-factor robust Bayesian power distribution network state estimation method based on uncertainty improvement
  • Two-factor robust Bayesian power distribution network state estimation method based on uncertainty improvement
  • Two-factor robust Bayesian power distribution network state estimation method based on uncertainty improvement

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Experimental program
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Effect test

Embodiment

[0061] The test system of the present invention is to improve the power distribution network of IEEE-33 nodes, and its topology is as follows figure 1 as shown,

[0062] The present invention considers the access information of distributed power sources and the uncertainty of measurement information between different measurement devices to model, and the model is as follows:

[0063] Although the high-precision PMU measurement is introduced in the state estimation of the regional distribution network, the estimated state quantity has a certain degree of uncertainty due to the error between different measurement devices and the different information such as the location of the distributed power supply. . The uncertainty model is as follows:

[0064] make p k =p km +p Δk u k (1)

[0065] In formula (1), p k Refers to the uncertainty of distributed power access, k represents the position of the uncertainty parameter in the parameter set, p km is p k The nominal value o...

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Abstract

The invention discloses a two-factor robust Bayesian power distribution network state estimation method based on uncertainty improvement. The two-factor robust Bayesian power distribution network state estimation method comprises the following steps of: constructing a power distribution network system comprising a photovoltaic system and a fan as a test platform; providing different types of distributed power supplies to access uncertainty information in the power distribution network system, and modeling to obtain an information uncertainty model; proposing information uncertainty of different measuring equipment and modeling to obtain a measuring equipment information uncertainty model; integrating the uncertainty models into a two-factor uncertainty model; adopting an input end of a PMUstate estimation hybrid measurement model as a state estimation input parameter; introducing a robust Bayesian estimation theory through using the double-factor uncertainty model, improving a Bayesian estimation algorithm, and effectively suppressing the influence of uncertainty information parameters on power distribution network state estimation through model adjustment and algorithm improvement. The two-factor robust Bayesian power distribution network state estimation method is high in estimation result precision and short in consumed time, can meet the requirements of intelligent situation awareness and real-time state monitoring of the active power distribution network, and has feasibility and engineering practical value.

Description

technical field [0001] The invention relates to the technical field of active distribution network intelligent situation awareness and real-time state monitoring, in particular to a two-factor robust Bayesian distribution network state estimation method based on uncertainty improvement. Background technique [0002] Under the background of the new power reform, policies such as liberalization of power generation and consumption plans, promotion of clean energy consumption, and priority development of clean energy have been proposed, making distributed power generation DG and new energy power generation the main part of power generation due to their advantages of cleanliness and environmental friendliness. one. At the same time, with the maturity of distributed power generation technology and the continuous development of power grid technology, modern power distribution systems are becoming more intelligent and highly automated, large-scale integration of renewable energy and...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): H02J3/00H02J3/46H02J3/06H02J3/38G06K9/62G06F17/16
CPCH02J3/00H02J3/466H02J3/06H02J3/381G06F17/16H02J2203/20H02J2203/10H02J2300/24H02J2300/28H02J2300/40G06F18/24155Y02E10/56Y02A30/60
Inventor 徐艳春刘晓明谢莎莎
Owner CHINA THREE GORGES UNIV
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