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  • 匿名
关注:1 2013-05-23 12:21

求翻译:得到少数具有代表性的场景,建立了含风电场的电力系统随机机组组合模型;并用量子离散粒子群-原对偶内点法求解该问题。通过德国某风电数据和某10机系统算例,比较了制定日前计划时使用不同的机组组合模型和风电功率预测信息的不同优化效果,验证了基于本文提出的场景法的随机机组组合模型能有效应用于含大规模风电场的电力系统日前调度中。是什么意思?

待解决 悬赏分:1 - 离问题结束还有
得到少数具有代表性的场景,建立了含风电场的电力系统随机机组组合模型;并用量子离散粒子群-原对偶内点法求解该问题。通过德国某风电数据和某10机系统算例,比较了制定日前计划时使用不同的机组组合模型和风电功率预测信息的不同优化效果,验证了基于本文提出的场景法的随机机组组合模型能有效应用于含大规模风电场的电力系统日前调度中。
问题补充:

  • 匿名
2013-05-23 12:21:38
Scene of a minority representative, random wind farm power system unit commitment model; and quantum discrete particle swarm - primal dual interior point method for solving this problem. Germany, a wind power data and a 10-machine system operator cases, and compare the development of recently planne
  • 匿名
2013-05-23 12:23:18
Get a small representative sample of the scene, with the wind power system models random units; and quantum discrete particle group - the original wire pairs within the law. Through the German wind power a data and a 10 examples, the system has been developing a plan before you use a different unit
  • 匿名
2013-05-23 12:24:58
Obtains minority has the representative scene, established combined the model including the wind electric field electrical power system stochastic unit; And solves this question with the quantum separate
  • 匿名
2013-05-23 12:26:38
Scenes by the minority representative, established a wind power system stochastic unit commitment models; with quantum discrete Particle Swarm-primal-dual Interior point method for solving the problem. Through Germany in a wind turbine data and a 10 machine system for example, when you compare the f
  • 匿名
2013-05-23 12:28:18
 
 
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