Method for optimizing power-failure plan based on genetic algorithm

A technology of power outage planning and optimization method, which is applied in the field of power grid, can solve the problems that cannot meet the requirements of power supply enterprise plan management, etc., and achieve the effect of improving the level of lean management, improving the reliability of power supply, and enhancing the service image of the enterprise

Active Publication Date: 2012-06-27
JIAXING ELECTRIC POWER BUREAU +1
View PDF1 Cites 10 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0004] In short, at present, some domestic research work has been carried out in the field of power grid production plan optimization, but it is still in its infancy, and it is far from meeting the requirements of power supply enterprises for production operation plan management; although foreign research on production plan optimization has already achieved Certain results, but no studies have addressed complete production planning optimization

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
  • Method for optimizing power-failure plan based on genetic algorithm
  • Method for optimizing power-failure plan based on genetic algorithm
  • Method for optimizing power-failure plan based on genetic algorithm

Examples

Experimental program
Comparison scheme
Effect test

Embodiment

[0077] Based on the method introduced in this paper, the intelligent optimization system for distribution network production blackout plan was completed and put into trial operation in September 2009 through the joint efforts of Jiaxing Pinghu Power Supply Bureau and IBM China Research Institute. In 2010, when the power grid scale increased by 9.2%, the average scheduled blackout times ASTC-3 of Pinghu Power Supply Bureau decreased by 30.7%, and the average scheduled blackout time AIHC-S-3 decreased by 42.2%. This method was promoted and used in various county branches of Jiaxing Electric Power Bureau in 2011. The system has effectively improved the efficiency of power outage plan management.

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 optimizing a power-failure plan based on a genetic algorithm. The power-failure plan is optimized for a distribution network, and a multi-target and multi-constraint plan model is established. The multi-target and multi-constraint plan model mainly comprises a plurality of optimization targets and a plurality of constraints, wherein the optimization targets comprise (1) power supply reliability maximization, (2) safety risk minimization, (3) working capacity balance maximization and (4) power-failure time adjustment amount minimization; and the constraints comprise (1) a same-pole failure-accompanying constraint, (2) a double-power supply constraint, (3) a power supply guaranteeing constraint, (4) a load transfer-supply over-load constraint and (5) a working capacity non-exceeding constraint. On the basis of the multi-target and multi-constraint plan model, the method comprises the following steps of: solving by using a simulated annealing algorithm; coding a decision variable Bik into a character string of which the length is i*k; randomly generating N solutions which serve as initial groups, and evaluating the performance of each solution; and performing operation for G times, evaluating the performance of each solution in the group, and returning an optimal solution.

Description

technical field [0001] The invention relates to a method for optimizing a power outage plan based on a genetic algorithm, which belongs to the technical field of power grids. Background technique [0002] In the face of complex power grids, multi-tasks, multi-departments, multi-constraints and various uncertain factors, the process of formulating power outage plans for distribution networks is relatively complicated, while the preparation of traditional production operation plans has a low degree of automation and relies on manual communication and coordination , without computer-aided intelligent optimization of the plan. [0003] The domestic and foreign researches on power system outage plan optimization mainly focus on unit maintenance, and relatively few studies on power grid equipment production plan. From the application point of view. Some scholars proposed that in the monthly power outage planning, the most economical goal of distribution network maintenance shoul...

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): G06Q10/04G06Q50/06G06N3/12
CPCY04S10/545Y02E40/76Y02E40/70Y04S10/50
Inventor 曾挺健王坚敏沈曙明冯晓科周浦江冯华丁一岷车江嵘王强
Owner JIAXING ELECTRIC POWER BUREAU
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
Try Eureka
PatSnap group products