Power distribution network state estimating method based on fuzzy theory

A technology of fuzzy theory and state estimation, applied in calculation, electrical components, circuit devices, etc., can solve the problems of high accuracy of active power measurement and inability to deal with active and reactive power measurement

Inactive Publication Date: 2014-09-03
GUILIN UNIV OF ELECTRONIC TECH +1
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Problems solved by technology

However, this method cannot handle a single active and reactive power measurement, and it does not meet the condition that the accuracy of active power measurement in the actual power grid is higher than that of reactive power measurement

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  • Power distribution network state estimating method based on fuzzy theory
  • Power distribution network state estimating method based on fuzzy theory
  • Power distribution network state estimating method based on fuzzy theory

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Embodiment Construction

[0032] See figure 1 .

[0033] The method for estimating the distribution network state based on the fuzzy theory to determine the weight of the present invention firstly determines the measurement type according to the configuration of the measurement device, collects the measurement types with higher precision into the fuzzy set A, and selects the function value from 0 to 1. The Cauchy distribution function of is a membership function such as formula (1):

[0034] A(x)=[1+α(x-α) β ] -1 (1)

[0035] Among them, α>0 is the measured power flow value (per unit value); β is a parameter, which is a positive even number; x is the measured value (per unit value); A(x) is the function value.

[0036] When A(x) is closer to 0, it means that the degree of element x belonging to A is smaller, that is, the measurement data accuracy is lower; the closer A(x) is to 1, it means that the degree of element x belonging to A is larger, that is The measurement data has high precision;

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Abstract

The invention relates to a power distribution network state estimating method based on a fuzzy theory, which belongs to the field of electric power system scheduling automation. According to the power distribution network state estimating method, a set with higher measuring precision is used as a fuzzy set A. A parameter value beta in a Cauchy membership function is determined according to the fuzzy set A. The same-kind measured values and flow values of different branches or different nodes, which are measured by a same measuring device, are introduced into a Cauchy distribution function for calculating a function value. Through analysis and comparison, error function values which exceed a normal error limit are eliminated. An average value of the function values which satisfy the requirement is calculated as a weighting value for measurement of this kind. According to the power distribution network state estimating method of the invention, different weighting values can be set for different measured values which are measured by one measuring device, and effect of different kinds of measurements for state estimating precision is considered. Convenient algorithm realization and high estimating precision are realized. Furthermore when certain measurements are added or eliminated or the power distribution network state estimating method is applied in the system with different number of nodes, no program change is required, and high practicability is obtained.

Description

technical field [0001] The invention belongs to the field of power system dispatch automation, and relates to a distribution network state estimation method based on fuzzy theory. Background technique [0002] In the distribution network, since the measurement accuracy of different measurement types is different, it is not reasonable for different types of measurement values ​​to participate in the objective function with the same weight. The weight of the measurement type with high measurement accuracy should be made larger, so that the estimated value is close to the high-precision measurement value, that is, the high-precision measurement value can play a greater role in the estimated state and improve the estimated value. On the contrary, the measurement weight of the quantity with low precision is smaller. The reasonable setting of the measurement weight has a great influence on the calculation accuracy of the state estimation. However, the traditional measurement weig...

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Application Information

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IPC IPC(8): H02J3/00G06Q50/06
Inventor 黄知超谢霞李俊肖宏唐荣平王辉
Owner GUILIN UNIV OF ELECTRONIC TECH
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