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

Biogeography substation site selection optimization method based on population competition strategy

A technology of substation site selection and biogeography, which is applied in the field of biogeography substation site selection optimization based on population competition strategy, can solve the problems of insufficient search ability and cloud scheduling, so as to improve search ability, realize operation reliability and economy , Improve the effect of economy

Pending Publication Date: 2022-03-11
GUIZHOU POWER GRID CO LTD
View PDF0 Cites 0 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, the search capability of BBO is insufficient to solve complex cloud scheduling problems

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
  • Biogeography substation site selection optimization method based on population competition strategy
  • Biogeography substation site selection optimization method based on population competition strategy
  • Biogeography substation site selection optimization method based on population competition strategy

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0038] refer to figure 1 , as an embodiment of the present invention, provides a biogeographic substation site selection method based on population competition strategy, including:

[0039] S1: Establish the objective function of site selection according to the substation site selection problem, and set constraints according to the power supply capacity and planning scope of the substation.

[0040] (1) Addressing target function:

[0041]

[0042] In the formula, F is the total investment cost, N is the number of substations to be built, J is the number of load points, K is the total number of laid lines, r 0 is the returnable investment rate, L j is the unit length of line investment cost, l is the depreciable life; W j is the active power of load at point j, P k (d ij ) is the geographical transmission loss considering geographical factors, α is the marginal loss coefficient, alpha 1 is the power loss conversion factor, α 2 is the line resistance per unit length, ...

Embodiment 2

[0070] In order to verify and explain the technical effect adopted in this method, this embodiment selects the BBO, CBBO, and MBBO algorithms that are widely used and have better effects in the current biogeographical evolutionary algorithm to compare the performance of the algorithm with this method, and use the scientific demonstration Means comparison test results to verify the real effect of this method.

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 biogeography transformer substation site selection optimization method based on a population competition strategy, and the method comprises the steps: building a site selection objective function according to a transformer substation site selection problem, and setting a constraint condition according to the power supply capability and the planning range of a transformer substation; establishing a substation field optimization model in combination with the site selection objective function and the constraint conditions; and solving an optimal solution of the substation field optimization model by using a BBOPC algorithm to obtain an optimal position of substation construction. According to the method, the economy of substation planning is improved, the search capability of the algorithm can be improved through the competition strategy, power experts are helped to formulate reasonable power planning, and therefore a power system is helped to effectively achieve operation reliability and economy.

Description

Technical field: [0001] The invention relates to the technical field of substation site selection planning, in particular to a biogeographical substation site selection optimization method based on population competition strategy. Background technique: [0002] Substation siting is the most important part in power planning; it not only affects the stability of the power system, but also directly affects the economy of the power system. With the progress of science and technology, human society is also progressing. In recent years, the factors that need to be considered in power planning are gradually increasing. The location of the substation needs to be determined in a place with good traffic and easy construction, as long as it does not affect the reliability of power supply. Therefore, geographic information within the scope of the planning plant is also an important factor. When planning the location of a proposed substation, geographic information and total investmen...

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): G06Q10/04G06Q50/06G06N3/00
CPCG06Q10/043G06Q50/06G06N3/006
Inventor 刘影王立彭军杨珂王斌王伟罗晨汪玉翔
Owner GUIZHOU POWER GRID CO LTD
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