基于多代理粒子群算法的电力系统无功优化研究

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4、ficialintelligencealgorithm⋯⋯⋯⋯．⋯．⋯⋯．⋯．⋯．⋯．⋯⋯．．⋯⋯．⋯．⋯．⋯．．31．3Researchstatusofparticleswarmoptimization．．．．．．．．．．．．．．．．．．．．．．．．．．．．．．．．．．．．．．．．．．．．．．．．．．．41．3．1Self-adaptiveparticleswarmoptimizationalgorithm⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯．51．3．2Improvementintheinitialpopu

5、lation⋯．⋯．⋯⋯．．⋯⋯．．⋯⋯⋯．⋯．⋯．⋯．⋯．⋯．．51．3．3Improvementintheiterativeprocess⋯⋯⋯．⋯⋯．⋯．⋯．⋯⋯．⋯．⋯．⋯．⋯．⋯．⋯．．51．3．4ImprovementintheendofparticleSWalTnalgorithm⋯⋯．．．．⋯．．．．．．．．．．⋯⋯．．61．4Researchstatusofmulti--agent．⋯⋯⋯⋯⋯⋯．⋯⋯⋯⋯⋯⋯⋯．．．．．．．．．．．．．．．．．．．．．．．．．．．．．．．．．．

6、．．．61．5Mainworkofthispaper．．．．．⋯⋯．⋯⋯⋯⋯⋯⋯．．．．．⋯⋯⋯⋯⋯⋯⋯⋯．．．．．⋯．．．．．⋯⋯⋯⋯⋯．7Chapter2Mathematicalmodelofpowersystemreactivepoweroptimization．．．．．．．．．．82．1Characteristicsofthepowersystemreactivepoweroptimization⋯⋯⋯⋯⋯⋯⋯．．82．2Objectivefunctionofpowersystemrea

7、ctivepoweroptimization．．．．．．．．．．．．．．．．．．．．．．．92．2．1Energycostsafterreactivepowercompensation⋯．．．．．．．．⋯⋯⋯．．．．⋯⋯⋯⋯⋯92．2．2Costsofreactivepowercompensationequipment⋯．⋯⋯．⋯．⋯．⋯．⋯．⋯．⋯102．2．3Levelsofnodevoltage．．．⋯⋯．⋯⋯⋯⋯．⋯⋯⋯．．．．．．⋯⋯⋯⋯⋯⋯⋯．⋯⋯．．．．．．⋯．．102．3Cons

8、traintconditionsofpowersystemreactivepoweroptimization．．．．．．．．．．．．．．．．112．3．1Constraintofpowerflow．．．．．．．．．．．．．．．．．．⋯⋯．⋯⋯⋯．．⋯⋯．⋯．⋯⋯⋯⋯⋯⋯．⋯．．．．112．3．2Inequalityconstraints．．．．．．．⋯⋯⋯⋯⋯．．⋯⋯⋯．．．．．．．⋯⋯⋯⋯⋯⋯．⋯⋯⋯．⋯．⋯⋯122．4Powerflowcalculationinreactivepowerop