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

Distribution network operation optimization method integrating reactive power optimization and network reconstruction

A technology for operation optimization and network reconfiguration, which is applied in reactive power compensation, AC network circuits, reactive power adjustment/elimination/compensation, etc., can solve complex solutions without considering the economics of reactive power compensation, and comprehensive optimization without potential value well-researched and explored issues

Active Publication Date: 2016-09-07
HOHAI UNIV
View PDF2 Cites 12 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

In essence, distribution network reconfiguration is a nonlinear combination optimization problem, and distribution network reactive power optimization is a nonlinear integer programming problem. Alternate iterative method, respectively focus on reconstruction and reactive power optimization, the latter adopts intelligent algorithm to solve, compared with the former alternate iterative method, improves the calculation accuracy, they are not real synchronous reconstruction and reactive power optimization, in addition, the existing researches all take the network loss as the optimization target, and do not consider the economics of reactive power compensation, and the potential value of comprehensive optimization has not been fully researched and tapped

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
  • Distribution network operation optimization method integrating reactive power optimization and network reconstruction
  • Distribution network operation optimization method integrating reactive power optimization and network reconstruction
  • Distribution network operation optimization method integrating reactive power optimization and network reconstruction

Examples

Experimental program
Comparison scheme
Effect test

Embodiment

[0106] The present invention uses the IEEE33 node system as an illustrative case, and the general flow chart is attached figure 2 , The voltage level of the system is 12.66kV, the total active load is 3715kW, and the total reactive load is 2300kvar. A comparative analysis of three optimization schemes including network reconfiguration, reactive power optimization and comprehensive optimization is carried out.

[0107] The parameters of the leapfrog algorithm are set as follows: the size of the frog group is 80, the number of groups is 20, the number of global evolution is 50, and the number of local evolution is 3. See the attached flow chart image 3 . The reactive power compensation point chooses the 23rd, 24th, and 29th nodes with the heaviest reactive power load, which conforms to the principle of reactive power compensation on the one hand. The amount of reactive power compensation takes 1.2 times of the total reactive power load of the system as the upper limit of rea...

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 operation optimization method integrating reactive power optimization and network reconstruction. According to the method, coordination and cooperation of a reactive power optimization technology and a network reconstruction technology in distribution network operation optimization are fully considered. An optimization model employing annual comprehensive cost as a target function is firstly defined; a new coding strategy and an identification method of a solution are provided; and finally the best comprehensive optimization scheme is determined by a shuffled frog leaping algorithm. By the distribution network operation optimization method, the potential economic value existing in cooperation of the reactive power optimization technology and the network reconstruction technology can be fully explored; and the distribution network operation optimization method has certain practical reference value.

Description

technical field [0001] The invention belongs to the technical field of power system operation analysis and control, and relates to a distribution network operation optimization method that integrates reactive power optimization and network reconfiguration. technical background [0002] Distribution network reconfiguration and distribution network reactive power optimization, as two important technical means of distribution network optimization operation, are key technologies of distribution automation, which play an important role in ensuring power quality and reducing network loss. Distribution network reconfiguration obtains the network topology under the optimal optimization target value by changing the closure of network switches; distribution network reactive power optimization generally uses fixed-point switching reactive power compensation equipment to minimize active power loss and ensure a higher voltage level . In essence, distribution network reconfiguration is a...

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
IPC IPC(8): H02J3/18G06F17/50G06Q50/06
CPCG06Q50/06G06F30/367H02J3/18H02J2203/20Y02E40/30Y02E40/70Y04S10/50
Inventor 卫志农王薪苹孙国强李逸驰臧海祥
Owner HOHAI 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