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ID:31956282
大小:2.60 MB
页数:55页
时间:2019-01-29
《电网公司最优购电策略的-研究》由会员上传分享,免费在线阅读,更多相关内容在应用文档-天天文库。
1、西安理工大学硕士学位论文economicmodeltobetterreflectpurchasetheelectricitymarketenvironmentpolicy-makerstothespecificrequirementsofenergysaving,easytogettherightpurchasedecision-makersatdifferentpowerpurchaseprogramrequirements.Keywords:Electricitymarket;Particleswarm
2、optimization;Theobjectivefunction;TheconstraintIV目录目录摘要....................................................................IAbstract..................................................................III1绪论....................................................
3、.................11.1研究背景及意义......................................................11.2国内外研究现状......................................................21.2.1国内研究现状..................................................31.2.2国外研究现状...................................
4、...............61.3本文研究内容........................................................72基于粒子群算法的经济购电模型的建立.......................................92.1引言................................................................92.2多电源购电模型的建立.................................
5、..............102.2.1目标函数.....................................................102.2.2火电厂约束条件...............................................112.2.3水电厂约束条件...............................................112.2.4风电场约束条件..........................................
6、.....122.2.5系统约束条件.................................................122.3算法流程...........................................................132.4参数的设置.........................................................152.5约束条件的处理..........................................
7、...........152.5.1粒子范围的处理...............................................152.5.2惩罚函数.....................................................162.6本章小结...........................................................173兼顾环境问题的多目标购电模式...................................
8、.........193.1引言...............................................................193.2常见的电力系统购电模型.............................................203.2.1目标函数.....................................................203.
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