...
  • 主题
高级搜索  >
历史搜索 清空历史
首页> 外文期刊>Energy Conversion & Management >Fair cost distribution among smart homes with microgrid
【24h】

Fair cost distribution among smart homes with microgrid

机译：带有微电网的智能家居之间的公平成本分配

获取原文
获取原文并翻译 | 示例
           
页面导航
  • 摘要
  • 著录项
  • 相似文献
  • 相关主题

摘要

Microgrid is composed of a set of distributed energy resources (DER) and is considered as an alternative energy providing system to the current centralised energy generation. Smart homes equipped with smart grid technology, such as smart meter and communication system, are becoming popular for their lower energy cost and provision of comfort. Flexible energy-consuming household tasks can be scheduled coor-dinately among multiple homes which share the common microgrid. When local DERs cannot fulfill the whole demand, smart homes will compete with each other to obtain energy from local DERs and achieve their respective lowest energy cost. In this paper, a mathematical programming formulation is presented for the fair cost distribution among smart homes with microgrid. The proposed model is based on the lexicographic minimax method using a mixed integer linear programming (MILP) approach. One-day forecasted energy cost of each smart home is minimised under fairness concern. DER operation, DER output sharing among smart homes and electricity consumption household tasks are scheduled. Two numerical examples with 10 and 50 smart homes are studied. The computational results illustrate that the proposed approach can obtain obvious cost savings (30% and 24% respectively) and fair cost distribution among multiple homes under given fairness scenario.
机译：微电网由一组分布式能源（DER）组成，被视为当前集中式能源生产的替代能源提供系统。配备有智能电网技术的智能家居，例如智能电表和通信系统，因其较低的能源成本和提供的舒适性而变得越来越受欢迎。可以在共享公用微电网的多个家庭之间平均安排灵活的耗能家庭任务。当本地DER无法满足全部需求时，智能家居将相互竞争，从本地DER获取能源并实现各自的最低能源成本。在本文中，提出了一种数学编程公式，用于在具有微电网的智能家居之间合理分配成本。所提出的模型基于使用混合整数线性规划（MILP）方法的字典极小极大方法。在公平性的考虑下，每个智能家居的一日预测能源成本被最小化。调度了DER操作，智能家庭之间的DER输出共享以及家庭用电任务。研究了带有10个和50个智能家居的两个数值示例。计算结果表明，在给定的公平情景下，该方法可以节省大量成本（分别为30％和24％），并可以在多个房屋之间实现公平的成本分配。

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