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Researching On The Method Of Power Supply System Scheduled Maintenance Basing On Integral Linear Programming

Posted on:2003-11-04Degree:MasterType:Thesis
Country:ChinaCandidate:Z M WangFull Text:PDF
GTID:2156360092470084Subject:Power system and its automation
Abstract/Summary:PDF Full Text Request
The unit maintenance scheduling is a part of the digitalized management system in power supply system. The scientific, rational and practical maintenance schedules are helpful to improve the stability of the power system operation and improve the modernization level and profit efficiency of the enterprises.On basis of studying the current situation of the maintenance schedules design in power supply system, combining the actual status of Foochow Power Administration, the maintenance schedules auto-designing system is further investigated and exploited in this thesis. Based on the GIS developing platform, this system considered the comprehensive planning of the digitalized power system, realized the whole course of the optimized maintenance schedules' designing. It can provide the dispatcher of the supplier department with the optimized scheme, avoid the shortcoming of the manual designing, lighten the labor intensity of plan engineering, improve the working efficiency.The integral programming math model which adopts to the maintenance schedules is established and the optimized algorithm comprised of the DC flow algorithm, the single loop optimal method (SLOM) of network reconfiguration in distribution and the genetic algorithm is proposed to solve the problem of optimality in integral programming. With the optimized method in this paper, it can make the plan more rational, decrease the loss of power cut, improve the safety and reliability of power supply system and enhance the economical efficiency and social efficiency of the enterprises. A useful attempt is made in this thesis to digitalize the production and operation of power supply enterprises.
Keywords/Search Tags:maintenance schedule, digital power system, GIS, genetic algorithm, integral programming algorithm, SLOM
PDF Full Text Request
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