Eureka AIR delivers breakthrough ideas for toughest innovation challenges, trusted by R&D personnel around the world.

A method for obtaining optimal planning of transmission network under new energy access

An optimal planning and acquisition method technology, applied in the field of transmission network, can solve problems such as instability, GA algorithm calculation complexity, algorithm complexity, etc., to achieve high guidance, enhanced generalization ability and robust performance

Active Publication Date: 2022-05-10
SOUTHWEST JIAOTONG UNIV
View PDF7 Cites 0 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

The GA algorithm is computationally complex, unstable, and prone to local convergence; the PSO algorithm contains different PSO variants with complementary capabilities, and has strong randomness; NSGA-II is for two solutions with the same non-dominated sort, in a smaller crowded area The solution is better, and the secondary population generated by the basic operation of the genetic algorithm is repeatedly selected from the parent population until the conditions are met. The NSGA-Ⅱ algorithm is more complicated, and the convergence of the results needs to be improved.

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 method for obtaining optimal planning of transmission network under new energy access
  • A method for obtaining optimal planning of transmission network under new energy access
  • A method for obtaining optimal planning of transmission network under new energy access

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0087] In order to make the purpose, technical solution and advantages of the present invention clearer, the present invention will be further elaborated below in conjunction with the accompanying drawings.

[0088] In this example, see figure 1 As shown, the present invention proposes a method for obtaining the optimal planning of the transmission network under the access of new energy, including steps: S100-S600.

[0089] S100, establishing a transmission network planning model including new energy.

[0090] In the step S100, comprehensively considering the congestion severity and economy of the planned network structure, taking the annual congestion surplus and the investment cost of the new line as the objective function, the flow of the branch and the expansion of the line meet the constraints of the power flow and the upper limit of the expansion respectively, and establish Two-objective transmission network planning model considering transmission congestion.

[0091] ...

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 method for obtaining the optimal planning of the transmission network under the access of new energy, which includes the steps of establishing a transmission network planning model containing new energy; and establishing a corresponding particle individual of the transmission network planning model according to the EPSO particle swarm optimization algorithm. The grid structure of the transmission grid; repair the grid structure of the transmission grid to ensure the connectivity of the grid structure of the transmission grid; use the probabilistic direct current flow method to obtain the power flow of each branch of the grid grid corresponding to the particle individual, and judge that the correction does not meet the requirements of the transmission network. Particle individuals under the constraints of the network planning model; solve the fitness function value, use the adaptive strategy to select the optimal PSO strategy for multiple iterations to obtain the globally optimal particle individual; transform the globally optimal particle individual to form the optimal transmission network planning Optimal configuration scheme. The invention enhances the generalization ability and robust performance of the calculation process, and can effectively obtain a high-precision, high-directive optimal configuration scheme for planning the grid structure of the transmission network under the access of new energy.

Description

technical field [0001] The invention belongs to the technical field of transmission network, and in particular relates to a method for obtaining optimal planning of transmission network under the access of new energy. Background technique [0002] With the energy crisis and global climate change issues, new energy (wind power, etc.) power generation has become increasingly popular. Due to the randomness and intermittent nature of new energy power generation, the transmission network under the access of new energy has more uncertainties, so the traditional deterministic transmission network planning model and optimization methods are no longer applicable. [0003] Under the premise of satisfying the safe and reliable operation of the system, the traditional power grid planning is based on the determined power supply planning scheme, with the purpose of meeting a certain level of predicted load, and the planning is carried out with the objective function of minimizing the cons...

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): H02J3/38
Inventor 张雪霞王晓梅陈瀚林陈维荣
Owner SOUTHWEST JIAOTONG 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
Eureka Blog
Learn More
PatSnap group products