Looking for breakthrough ideas for innovation challenges? Try Patsnap Eureka!

A Fast Reconfiguration Method of Distribution Network Considering Voltage Stability

A technology of voltage stability and voltage stability coefficient, applied in the field of distribution network automation, can solve problems such as shortening the time-consuming reconstruction

Active Publication Date: 2019-06-14
NANCHANG UNIV
View PDF1 Cites 0 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

The real-time optimization of power distribution network requires the rapidity of calculation. Existing methods avoid infeasible solutions to reduce the time-consuming reconstruction and obtain a global optimal solution at a relatively fast speed. However, a large number of power flow calculations are still required. The power flow calculation method for network reconstruction is basically Newton-Raphson and forward-backward substitution method, which requires multiple iterations to obtain a power flow that meets certain accuracy requirements. If a fast power flow calculation method that meets the accuracy requirements can be constructed, the Calculation is time-consuming, and the time-consuming reconstruction is bound to be greatly shortened

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
  • A Fast Reconfiguration Method of Distribution Network Considering Voltage Stability
  • A Fast Reconfiguration Method of Distribution Network Considering Voltage Stability
  • A Fast Reconfiguration Method of Distribution Network Considering Voltage Stability

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0097] The present invention will be further illustrated by the following examples.

[0098] The invented method is verified by IEEE16, IEEE33, PG&E69 and Taipower84 systems, and the effect of the invented method is further illustrated. The calculation program is compiled using the MATLAB R2015b computing platform, and the operating environment is as follows: a PC with a CPU model Corei7-4790, a main frequency of 3.60GHz, and a memory of 16GB. The number of individuals in the four calculation examples is 20, 30, 55, and 80 respectively, the maximum number of iterations is 20, 55, 140, and 200, and the maximum stagnation count is 32.

[0099] Table 1 gives c 1 、c 2 The reconfiguration results of the test system when 1 and 0 are taken respectively. For the convenience of comparison, the table shows the results of the Newton-Raphson method (Newton-Raphson, NR) and the forward / backward Sweep method (Forward / Backward Sweep, FBS) for power flow calculation (the convergence condit...

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 distribution network rapid reconstruction method taking voltage stability into consideration. The method comprises the following steps: 1, introducing a rapid and convenient voltage stability factor calculation method reflecting the voltage stability, and constructing an integrated factor minimization optimization model comprising network loss and a voltage stability factor; 2, constructing a rapid and non-iterative linear trend calculation method for reducing enormous time consumed for trend calculation, and based on the trend calculation method, calculating elements needed for the optimization model; and 3, introducing and organically combining individual-dependent parameter setting, an individual-dependent mutation strategy and a successful-parent-selecting framework, for improving a differential evolution algorithm, and constructing a differential evolution algorithm with an individual-dependent mechanism and the successful-parent-selecting framework, for solving distribution network rapid reconstruction taking the voltage stability into consideration. According to the invention, change of the network loss and voltage level in reconstruction can be reflected objectively, through parameter adjustment, grid structures with different significance can be obtained, and guidance is provided for actual operation.

Description

technical field [0001] The invention belongs to the technical field of power distribution network automation. Background technique [0002] As an important part of building a smart grid, distribution automation with higher coverage is required, and distribution automation with higher coverage makes it possible to optimize the distribution network in real time. Distribution network reconfiguration is one of the components of real-time optimization of distribution network. It has the function of optimizing operation indicators such as network loss, voltage quality, and power supply reliability by changing the network switch status without adding additional economic investment. The real-time optimization of power distribution network requires the rapidity of calculation. Existing methods avoid infeasible solutions to reduce the time-consuming reconstruction and obtain a global optimal solution at a relatively fast speed. However, a large number of power flow calculations are st...

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 Patents(China)
IPC IPC(8): H02J3/00G06F17/50G06Q50/06
CPCG06Q50/06G06F30/367H02J3/00H02J2203/20Y04S10/50
Inventor 王淳黄辉
Owner NANCHANG UNIV
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Patsnap Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Patsnap Eureka Blog
Learn More
PatSnap group products