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

Electrical power system black start method based on grey wolf optimization algorithm

A technology of power system and optimization algorithm, applied in information technology support system, single-network parallel feeding arrangement, etc., can solve problems such as low efficiency of recovery technology and inability to accurately restore the power system by offline methods, and achieve the goal of improving reliability and efficiency Effect

Active Publication Date: 2019-06-07
SHANGHAI DIANJI UNIV
View PDF9 Cites 5 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0004] Among them, the offline method may not be able to restore the power system accurately due to changes in the actual restoration situation, and the existing online power system restoration technology generally has the disadvantage of low efficiency.

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
  • Electrical power system black start method based on grey wolf optimization algorithm
  • Electrical power system black start method based on grey wolf optimization algorithm
  • Electrical power system black start method based on grey wolf optimization algorithm

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0039] In order to make the technical means, creative features, goals and effects achieved by the present invention easy to understand, the present invention will be further described below in conjunction with specific embodiments.

[0040] see figure 1 and figure 2 , a kind of power system black start method based on gray wolf optimization algorithm described in the present invention, comprises the following steps:

[0041] 1) Determine all units and power networks that need to be restored, and establish a power system black start decision-making optimization model; select the total power system restoration time as the optimization index;

[0042] 2) Determine the initial state of the power system where the blackout occurred, classify it by unit, use hydropower station, pumped storage power station or gas turbine generator set as the black start power supply, and then start the type of priority start, and finally restore the entire power system; and according to the corresp...

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 an electrical power system black start method based on a grey wolf optimization algorithm. The electrical power system black start method based on the grey wolf optimization algorithmcomprises the steps that machine sets and electrical power networks needing to be restored are firstly determined, and an electrical power system black start decision optimization model is established; electrical power systemrestoring overall time is selected as an optimized index; the initial state of an electrical power system which has power failure is determined, classification is conducted according to the machine sets, hydropower stations, pumped storage power stations or gas turbine generator units are taken as a black start power supply, preferred starting types are further started, and finally the whole electrical power system is restored; a plurality of decision schemes are obtained according to corresponding electrical power line current constraint and voltage constraintconditions; then a grey wolf algorithm is optimized from two stages of initialization and diversification of gray wolf populationand a nonlinear convergence equation; and finally corresponding power balance constraint and tide constraint conditions are taken as the evaluation basis of an adaptation coefficient, and thus the optimal decision scheme is found out.

Description

technical field [0001] The present invention is mainly applied in the field of large-scale power system black start, and belongs to the field of computer technology application, and relates to the technical field of algorithm optimization of complex constraint functions, and particularly relates to a large-scale power system black start based on the optimized gray wolf algorithm, unit online and offline Restore decision making. Background technique [0002] With the rapid development of the economy, people's demand for electricity is increasing, and the power system is also expanding. The number and types of power equipment are increasing, and the structure of the power network is becoming more and more complicated. When a partial failure occurs in the power system and cannot be handled properly, it is very easy to cause a large-scale cascading power outage, that is, a power system blackout accident. The existing experience and examples at home and abroad show that various ...

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): H02J3/38
CPCY04S10/52
Inventor 孙启硕刘三明王致杰
Owner SHANGHAI DIANJI 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