首页> 外文会议>IEEE International Conference on Industrial and Information Systems >Genetic algorithm based cost optimization to integrate a community based wind turbine while considering smart appliances scheduling
【24h】

Genetic algorithm based cost optimization to integrate a community based wind turbine while considering smart appliances scheduling

机译:基于遗传算法的成本优化,在考虑智能家电调度的同时整合社区风力涡轮机

获取原文

摘要

A coordinated approach capable of optimal scheduling of the responsive residential appliances to minimize the total cost of a community based scheme comprises a wind farm is suggested in this study. Here demand side loads are managed by optimizing smart appliances' operating time to minimize the cost to the community using a genetic algorithm based method. The cost optimization is obtained for different test cases using the algorithm implemented and results are discussed.
机译:一种能够最佳调度响应住宅设备以最小化基于社区方案的总成本的协调方法,包括这项研究的风电场。这里需要使用基于遗传算法的方法优化智能设备的操作时间来管理侧重载荷来管理,以最小化到社区的成本。使用所实现的算法和讨论结果的不同测试用例获得了成本优化。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号