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Power distribution network linearized power flow general formula optimal independent variable selection method based on historical data and error analysis

A technology of independent variables and historical data, applied to AC networks, electrical components, circuit devices, etc. with the same frequency from different sources, can solve problems such as inability to guarantee convergence and global optimality, and slow solution of optimization algorithms

Pending Publication Date: 2020-08-14
STATE GRID CHONGQING ELECTRIC POWER +2
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  • Summary
  • Abstract
  • Description
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  • Application Information

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Problems solved by technology

In addition, in distribution network optimization problems such as distribution network planning, network reconfiguration, and reactive power optimization, the use of AC power flow constraints will make the distribution network optimization problem non-convex, making the optimization algorithm solve slowly and unable to guarantee convergence and global optimum. excellent

Method used

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  • Power distribution network linearized power flow general formula optimal independent variable selection method based on historical data and error analysis
  • Power distribution network linearized power flow general formula optimal independent variable selection method based on historical data and error analysis
  • Power distribution network linearized power flow general formula optimal independent variable selection method based on historical data and error analysis

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Experimental program
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Embodiment 1

[0082] see image 3 , the optimal independent variable selection method for distribution network linearized power flow general formula based on historical data and error analysis, including the following steps:

[0083] 1) Obtain power system data. The power system data includes line parameters, generator parameters and historical node load data.

[0084] The line parameters mainly include line impedance, ground branch impedance, and a node admittance matrix Y=G+iB established based on the line impedance and ground branch impedance. G and B represent conductance and susceptance respectively; G is the real part of the admittance matrix, and B is the imaginary part of the admittance matrix. i is an imaginary number.

[0085] The generator parameters mainly include generator active output P G , Reactive output Q G .

[0086] The node load historical data includes a node load fluctuation scene set and ZIP load model parameters. The node load fluctuation scene set and ZIP lo...

Embodiment 2

[0154] The verification experiment of the optimal independent variable selection method for the distribution network linearized power flow general formula based on historical data and error analysis, the steps are as follows:

[0155] 1) Building the power system: The present invention selects IEEE33 and PG&E69 node systems to simulate and test the linearized power flow models of the two node injection power forms. The calculation examples used for the test are set as follows: calculation example 1, IEEE33 node system, without considering the ZIP load model; calculation example 2, IEEE33 node system, including the ZIP load model; calculation example 3, PG&E69 node system, not considering the ZIP load model ; Calculation example 4, PG&E69 node system, taking into account the ZIP load model. The comparison power flow calculation model is as follows: M0, conventional AC power flow model; M1, inject nodes into the power equation v i The linearized power flow model derived after d...

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Abstract

The invention discloses a power distribution network linearized power flow general formula optimal independent variable selection method based on historical data and error analysis. The method comprises the steps: 1) obtaining actual power grid physical parameter information and historical scene data; 2) deriving a linearized power flow general formula considering and / or not considering the node injection form of the ZIP load model; and 3) taking the v<k> as an independent variable, analyzing the influence of the change of the k value on the overall error of the linearized power flow model inall historical scenes, and selecting the k value corresponding to the minimum error as the index of the optimal independent variable v<k>. According to the invention, two different forms of node injection power equations are used as the basis, v<k> and theta<ij> are independent variables, two generalized linear power flow models considering / not considering the ZIP load model are derived, the optimal independent variable of the linear power flow model is selected according to historical scenes, and the effectiveness and robustness of the selected optimal independent variable are verified in different scenes in combination with the characteristics of the power distribution network.

Description

technical field [0001] The invention relates to the field of distribution network power flow calculation technology and optimized operation, in particular to a method for selecting the optimal independent variable of distribution network linearized power flow general formula based on historical data and error analysis. Background technique [0002] The power flow equation is the basic equation that the power system needs to follow, and it is also the basis of distribution network analysis. At present, the commonly used power flow calculation methods in distribution networks include forward-backward generation method, Newton method, implicit Zbus method and loop analysis method, etc. The above method uses the AC power flow model, and the calculation is accurate, but iterative solutions are required and there are convergence problems. For occasions that require repeated large-scale power flow calculations such as reliability assessment and probabilistic power flow, the linear...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): H02J3/06H02J3/46
CPCH02J3/06H02J3/46H02J2203/10H02J2203/20
Inventor 金黎明吴迎霞杨高峰赵科张林杨知方姜华余娟向明旭樊哲新
Owner STATE GRID CHONGQING ELECTRIC POWER
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