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

Optimal configuration method of mobile emergency power supply capacity based on improved quantum evolutionary algorithm

A technology of emergency power supply and configuration method, which is applied in the direction of calculation, calculation model, data processing application, etc., and can solve the problem of high cost of mobile emergency power supply

Active Publication Date: 2019-01-11
杭州孚嘉科技有限公司
View PDF3 Cites 0 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, due to the high cost of mobile emergency power, how to reasonably configure the capacity of mobile emergency power in each power supply station before the disaster occurs, so that it can restore the important load to the maximum extent when the disaster occurs on the basis of ensuring that the configuration cost is relatively economical The power supply is an urgent and meaningful problem that needs to be solved urgently

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
  • Optimal configuration method of mobile emergency power supply capacity based on improved quantum evolutionary algorithm
  • Optimal configuration method of mobile emergency power supply capacity based on improved quantum evolutionary algorithm
  • Optimal configuration method of mobile emergency power supply capacity based on improved quantum evolutionary algorithm

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0143] The detailed steps of the inventive method are described as follows:

[0144] The method of the present invention introduces the improved quantum evolution algorithm into the optimal configuration of the capacity of the mobile emergency power supply in the urban distribution network. By adopting the internal and external layered two-layer planning model, the capacity of the different types of mobile emergency power supplies of each power supply station in the outer layer is configured Combined with the optimal access point selection of the mobile emergency power supply in the inner distribution network, the two layers are optimized alternately to obtain the final mobile emergency power supply optimal capacity configuration. The detailed flow of the entire inventive method is shown below.

[0145] 1) Enter network parameters, load parameters and mobile emergency power supply parameters: enter the original structure of the distribution network, the line parameters of each bran...

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 novel optimal capacity allocation method for a mobile emergency power supply in an urban distribution network based on an improved quantum-inspired evolutionary algorithm (QEA). The method comprises the following steps: 1) inputting initial parameters; 2) analyzing a typical day; 3) setting initial parameters of the QEA; 4) obtaining optimized parameters by adopting an inner optimization method; 5) calculating a particle adaption value; 6) updating a local optimal vector and a global optimal vector; 7) updating a particle position value by using a biological evolution rule; 8) performing local search; 9) inspecting the astringency; and 10) outputting the result. The invention provides a novel capacity allocation method for a mobile emergency power supply based on double-layer optimization in combination with the improved QEA.

Description

Technical field [0001] The invention relates to a mobile emergency power supply capacity configuration method based on an improved quantum evolution algorithm, in particular to the optimal capacity configuration of different types of emergency power supplies in a power supply station containing mobile emergency power supplies. Background technique [0002] With the strengthening of distribution network construction and the maturity of micro-grid technology, the penetration rate of distributed generation (DG) in the power grid continues to increase. With the continuous development of the urban power distribution network, the network structure has become larger and larger. Once a large-scale blackout occurs, if corresponding emergency measures are not taken in time, it will bring huge economic losses to urban load users. The emergence of mobile emergency power supply can directly restore the power supply of the connected feeders in the distribution network, and solve the power supp...

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): G06Q10/04G06Q50/06G06N3/00
Inventor 王晶陈骏宇
Owner 杭州孚嘉科技有限公司
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