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

Commutation opportunity determination method and commutation system for three-phase unbalanced commutation

A determination method and balanced technology, applied in the field of commutation system, can solve problems such as too simple determination of commutation timing and potential safety hazards, and achieve the effects of rapid and accurate acquisition, improvement of level, and acceleration of convergence speed

Active Publication Date: 2019-07-12
HUAZHONG UNIV OF SCI & TECH
View PDF7 Cites 8 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0004] The present invention provides a commutation timing determination method and a commutation system for unbalanced three-phase commutation, which are used to solve the problem of the commutation timing in the prior art when the three-phase unbalanced only cuts off the load when the current crosses zero through the commutation switch. Identify technical issues that are too simple to pose a security risk

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
  • Commutation opportunity determination method and commutation system for three-phase unbalanced commutation
  • Commutation opportunity determination method and commutation system for three-phase unbalanced commutation
  • Commutation opportunity determination method and commutation system for three-phase unbalanced commutation

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0052] A commutation timing determination method 100 for unbalanced three-phase commutation, such as figure 1 shown, including:

[0053] Step 110, based on the constraint method and multiple optimization objective functions corresponding to the distribution network, construct a single-objective optimization model, which includes the main objective function and its constraint conditions;

[0054] Step 120, based on the commutation time x 0 , using the genetic algorithm to obtain the commutation time x 1 ;

[0055] Step 130, based on the simulated annealing algorithm and the single-objective optimization model, determine x 1 Whether it is the current optimal solution, if so, save and execute step 140, if not, repeat step 120 or determine x according to the termination condition 0 is the current optimal solution and execute step 140;

[0056] Step 140, modify the breakpoint value of each constraint condition to form a new single-objective optimization model, and execute step...

Embodiment 2

[0104] A three-phase unbalanced commutation system 200, such as image 3 shown, including:

[0105] A processor, configured to execute any one of the methods for determining the commutation timing of the above-mentioned three-phase unbalanced commutation, obtain the commutation timing and send it to the controller;

[0106] The controller is configured to determine the load to be commutated and its commutation sequence in the distribution network based on the commutation timing and multiple corresponding optimization objective functions, and based on the load to be commutated and the Commutation sequence, forming a control command and sending it to the three-phase unbalanced commutation device;

[0107] The three-phase unbalanced commutation device is used for performing a commutation operation based on the control instruction.

[0108] It should be noted that during the automatic phase change process, the safety of the phase change should be paid more attention to. Therefo...

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 relates to a commutation opportunity determination method and a commutation system for three-phase unbalanced commutation. The method comprises the steps of converting a multi-objectiveoptimization problem into a single-objective optimization model through a constraint method, solving an optimal solution set of the single-objective optimization model in combination with a genetic algorithm and a simulated annealing algorithm, determining an optimal solution in the optimal solution set, determining the optimal solution as a commutation opportunity, and determining a to-be-switched load and a switching sequence thereof based on the commutation opportunity so as to carry out switching. According to the method, multiple targets are converted into one target, the calculation efficiency is improved, the number of generated current optimal solutions is controlled by adjusting breakpoints of constraint conditions, and high objectivity is achieved. Secondly, through combination of a genetic algorithm and a simulated annealing algorithm, a global optimal solution can be rapidly and accurately obtained, safety risks caused by three-phase imbalance are effectively avoided, and the level of power grid operation planning is improved. In addition, three-phase imbalance states of transformers of different types and different capacities can be analyzed, and the application rangeis wide.

Description

technical field [0001] The invention relates to the technical field of power system operation planning, in particular to a commutation timing determination method for three-phase unbalanced commutation and a commutation system. Background technique [0002] Most of my country's low-voltage distribution network supplies power to users through 10kV / 0.4kV two-winding transformers in a three-phase four-wire system. The power load is relatively complex, with a wide area and mostly single-phase power load. Although the staff will distribute all users on the three phases A, B, and C in a balanced manner, due to factors such as the loose phase selection management during the user access process and the randomness of user loads, it is easy to cause a large number of three-phase load distribution of distribution transformers Uneven, three-phase unbalance phenomenon occurs. Unbalanced three-phase will easily increase the line loss and active power loss of the distribution transformer,...

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): G06F17/50H02J3/26
CPCH02J3/26H02J2203/20G06F2111/04G06F30/20Y02E40/50
Inventor 李黎蒋逸雯刘振声
Owner HUAZHONG UNIV OF SCI & TECH
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

Browse by: Latest US Patents, China's latest patents, Technical Efficacy Thesaurus, Application Domain, Technology Topic, Popular Technical Reports.

© 2024 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap|About US| Contact US: help@patsnap.com