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Two-factor Robust Bayesian Distribution Network State Estimation Method Based on Uncertainty

A Bayesian estimation and state estimation technology, which is applied to AC networks with the same frequency from different sources, computing, photovoltaic power generation, etc. The effect of reducing the influence, reliable calculation and convergence, and good error resistance performance

Active Publication Date: 2022-04-08
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 Distribution Network State Estimation Method Based on Uncertainty
  • Two-factor Robust Bayesian Distribution Network State Estimation Method Based on Uncertainty
  • Two-factor Robust Bayesian Distribution Network State Estimation Method Based on Uncertainty

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Embodiment

[0060] 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, the present invention considers the access information of distributed power sources and the uncertainty of measurement information between different measurement devices for modeling, and the model is as follows:

[0061] 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:

[0062] order p k =p km +p Δk u k (1)

[0063] 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 of p ...

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Abstract

Based on the uncertainty-based two-factor robust Bayesian distribution network state estimation method, a distribution network system including photovoltaics and wind turbines is built as a test platform; different types of distributed power sources are connected to the distribution network system with uncertainties information and modeling to obtain the information uncertainty model; put forward and model the information uncertainty of different measurement equipment to obtain the information uncertainty model of the measurement equipment; integrate the uncertainty model into a two-factor uncertainty model Model; the input terminal of the PMU state estimation mixed measurement model is used as the state estimation input parameter. The robust Bayesian estimation theory is introduced through the two-factor uncertainty model, and the Bayesian estimation algorithm is improved. Through the model adjustment and algorithm improvement, it can effectively restrain the influence of the uncertainty information parameters on the state estimation of the distribution network. influences. The estimation result of the method of the invention has high precision and short time consumption, can meet the requirements of intelligent situation awareness and real-time state monitoring of active 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 Patents(China)
IPC IPC(8): H02J3/00H02J3/46H02J3/06H02J3/38G06V10/764G06F17/16
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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