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ID:28361383
大小:9.71 MB
页数:148页
时间:2018-12-09
《粒子群算法在电力系统经济调度中的应用分析》由会员上传分享,免费在线阅读,更多相关内容在行业资料-天天文库。
1、西安理工大学硕士学位论文Simulationresultsofmulti一objectiveEDProblemswith6一generatorsunitwithIEEE30一busessystemshowthattheresultsusingthederivedalgorithmforthemulti一objeetiveProblem15reasonableness.Lastly,AeeordingtotheaetUalsituationoftheeleetrieitymarket,theCLCPSOalgorithm15aPPliedtothes
2、imulateddisPatehofthermalPowerPlantinanarea.ComParingwiththedatainthereferenee,PSOalgorithrnandimProvedPartieleswan刀oPtimizationowesvalidityandfeasibilityinsolvingeeonomiedisPatehofPowersystem.Keywords:eeonomiedisPateh;PartieleswannoPtimization;eulturalalgorithln;Closed一looPco
3、ntrol目录目录1前言..........……,.........................……,..............……,...............................................................……11.1课题研究背景和意义............................................................·······································……11.1.1电力系统经济调度问题描述.,…、......
4、..……,..................……,..................................……11.1.2目前电力系统经济调度的发展现状...........................................................……,..……11.2求解电力系统经济调度的优化算法...........................................................................……31.2.1电力系统经济调度中调度的要求............
5、.............................................................……31.2.2常用的优化算法及其优缺点分析..................……,................................................……31.3论文的主要研究工作......................................................·············································……52基本粒子群算法
6、及其改进思路...............……,.......................·.·······································,··……72.1基本粒子群算法的基本原理..……,.........................··················································,··……72.1.1粒子群算法概念...................................................................·..
7、······························……72.1.2粒子群算法的数学模型...........................................……,.......................···.···········……72.1.3粒子群优化算法的改进形式..............……,...........................................................……82.1.4粒子群优化算法控制参数分析............................
8、..............................................……102.1.5粒子群优化算
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