Variable-weight weighted power flow entropy calculation method based on load interval division

A calculation method and technology of interval power flow, applied to AC networks and electrical components of the same frequency with different sources, can solve problems such as inability to reflect load differences, inability to accurately describe the real situation of lines, etc., to avoid network cascading failures, improve The effect of characterization ability, fast and accurate load rate

Pending Publication Date: 2020-10-09
HOHAI UNIV
View PDF3 Cites 2 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0009] Purpose of the invention: Aiming at the problem that the current entropy calculation of the line load in the power system cannot reflect the load difference and accurately describe the real situation of the line in the prior art, the purpose of the present invention is to provide a variable weight weighted power flow entropy calculation based on load interval division method

Method used

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
View more

Image

Smart Image Click on the blue labels to locate them in the text.
Viewing Examples
Smart Image
  • Variable-weight weighted power flow entropy calculation method based on load interval division
  • Variable-weight weighted power flow entropy calculation method based on load interval division
  • Variable-weight weighted power flow entropy calculation method based on load interval division

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0061] This embodiment implements the method of the present invention by analyzing various situations of power system line loads, and the algorithm flow is as follows figure 1 shown. The following curves are obtained to simulate the line load rate distribution, where μ max = 1.2, the line load rate is divided into T 1 [0,0.4], T 2 [0.4,0.8] and T 3 [0.8,1.2] Three intervals, listing several typical load probability distribution curves, including three types.

[0062] (1) Line load rate distribution type with a large proportion of light and heavy load lines

[0063] Figure 2(a) shows the two types of probability distribution curves with light and heavy load lines taking a large proportion, and the load rate is at T 1 , T 2 higher probability. Figure 3(a) and Figure 3(b) are the comparisons of the two power flow entropies when the line is in the light and heavy load intervals respectively. It can be seen that when the line is in the light and heavy load range, the variab...

Embodiment 2

[0083] The present invention adopts the IEEE-33 node network for calculation example analysis, and the network includes 32 common branches and 5 contact branches. According to the tertile points of the original network load probability distribution, the line load rate can be divided into T 1 [0,0.2], T 2 [0.2,0.5] and T 3 [0.5,1.2] three intervals. Based on the particle swarm optimization algorithm, the network topology is optimized and reconstructed. By comparing the changes of the two power flow entropies before and after the network reconstruction, the superiority of the weighted power flow entropy with variable weight is reflected. The prior art solution mainly determines the weighted value through the active power flow of each line to calculate the power flow entropy value of the line. Topology structure before and after refactoring see Figure 7(a)-Figure 7(c) , Figure 7(a) is the original network before reconstruction, Figure 7(b) is the network after reconstruction...

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to view more

PUM

No PUM Login to view more

Abstract

The invention discloses a variable-weight weighted power flow entropy calculation method based on load interval division, and the method comprises the steps: setting a line load limit through combining with the operation requirements of a power network, and determining the load rate step length of power flow entropy calculation; dividing the line load rate into a plurality of intervals according to the probability distribution condition of the line load rate; independently calculating the power flow entropy of each interval based on the variable weight weighted power flow entropy; and finally,superposing to obtain the system power flow entropy. The method comprises the following steps: amplifying the influence of light and heavy load lines on the system power flow entropy in a variable load interval, so that the influence of light and heavy load lines on the system can be effectively distinguished, the purposes of accurately and effectively reducing the load of the heavy load line andimproving the network topology optimization of the load of the light load line are achieved, and then network cascading failures and line capacity waste of the power system are avoided.

Description

technical field [0001] The invention belongs to a distribution network robustness evaluation technology in an electric power system, and in particular relates to a variable-weight weighted power flow entropy calculation method based on load interval division. Background technique [0002] In 1850, German physicist R Clausius proposed the entropy theory. Entropy is a measure of the chaotic and disordered state of the system. The greater the entropy of the system, the lower the degree of order; conversely, the higher the degree of order, the smaller the entropy. Due to the physical characteristics of entropy, entropy theory was introduced into the field of power system, and the definition of power flow entropy was proposed, which can quantify the distribution of system power flow as a whole, and can reflect the vulnerability of the system operating state to a certain extent, and is widely used in Self-organized critical state research, power grid vulnerability assessment, net...

Claims

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to view more

Application Information

Patent Timeline
no application Login to view more
Patent Type & Authority Applications(China)
IPC IPC(8): H02J3/06
CPCH02J3/06H02J2203/10
Inventor 王敏伍超于子暄
Owner HOHAI UNIV
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Try Eureka
PatSnap group products