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Voltage level uncertainty influence elastic network regression analysis method of power distribution network

A technology of voltage level and regression analysis, applied in the direction of electrical components, circuit devices, AC network circuits, etc., can solve the problems of inability to accurately analyze the degree of influence, decrease in efficiency, and consume calculation time

Active Publication Date: 2016-07-06
STATE GRID JIANGSU ELECTRIC POWER CO ELECTRIC POWER RES INST +2
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Problems solved by technology

When the distribution network contains many uncertain factors, the final output results of the above uncertainty analysis methods are all a certain distribution, which can only reflect the joint effect of multiple input random variables, but cannot accurately analyze the impact of each input random variable on the output random The degree of influence of the variable
[0003] Some scholars introduce affine operation into the interval power flow to take advantage of the simplicity of interval uncertainty modeling and overcome the conservatism of interval calculation to a certain extent; relationship, a tracking analysis method for the influence of each input random variable on voltage is proposed, but the affine interval power flow calculation can only reflect the influence of each input random variable interval on the output random variable interval, which is relatively conservative and rough, and In the iterative process, the mutual conversion between interval and affine operations will consume a certain amount of calculation time, and as the uncertainty increases, the efficiency will decrease

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  • Voltage level uncertainty influence elastic network regression analysis method of power distribution network
  • Voltage level uncertainty influence elastic network regression analysis method of power distribution network
  • Voltage level uncertainty influence elastic network regression analysis method of power distribution network

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[0035] The present invention will be further described below in conjunction with the accompanying drawings. The following examples are only used to illustrate the technical solution of the present invention more clearly, but not to limit the protection scope of the present invention.

[0036] The invention adopts the point estimation method to estimate the expected value of the node voltage, and uses the expected value to construct the training samples required by the elastic net algorithm, and determines the most influential dominant influence on the voltage of each node among the uncertain sources through the elastic net regression analysis of the node voltage Sources and their impact metrics. Then, according to the analysis requirements of the action mode, the node-uncertain influence source correlation matrix is ​​constructed from the uncertainty source probability distribution characteristics and the node voltage regression equation, and the singular value decomposition i...

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Abstract

The invention discloses a voltage level uncertainty influence elastic network regression analysis method of a power distribution network. The method comprises the following steps of estimating a voltage expectation value of a node by a point estimation method; building a training sample required by an elastic network algorithm according to the expectation value; determining a leading influence source with the most influence on each node voltage and influence quantity of the leading influence source in each uncertainty source by elastic network regression analysis on the node voltage; building a node-uncertainty influence source correlation matrix according to uncertainty source probability distribution characteristic and a node voltage regression equation; introducing singular value decomposition to obtain an action mode of the uncertainty source on each node voltage and a corresponding node classification result. With the elastic network regression analysis method proposed by the invention, the uncertainty influence and the action mode of the uncertainty source such as a distributed power supply and a fluctuation load in the power distribution network on each node voltage can be quantitatively analyzed.

Description

technical field [0001] The invention relates to a regression analysis method for an elastic network affected by voltage level uncertainty of a distribution network, and belongs to the technical field of distribution network operation characteristic analysis. Background technique [0002] Accurate analysis of distribution system characteristics is an important prerequisite for active distribution network planning, operation and maintenance, and power management. The impact of determinism on the operation status of distribution network is also becoming more and more prominent. Indexes and analysis methods for a given operating point, such as sensitivity coefficients and distribution factors based on deterministic power flows, have been unable to meet the application requirements of the actual multi-working condition system. According to different modeling methods of uncertain factors such as power supply, load and components, scholars at home and abroad have successively prop...

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Application Information

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IPC IPC(8): H02J3/00G06Q50/06
CPCG06Q50/06H02J3/00H02J2203/20
Inventor 朱卫平陈鹏伟孙健戴强晟杨雄周建华陶顺
Owner STATE GRID JIANGSU ELECTRIC POWER CO ELECTRIC POWER RES INST
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