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文章摘要
家庭智能用电管理系统软件设计
Design of household intelligent electricity management system software
Received:September 08, 2016  Revised:October 11, 2016
DOI:
中文关键词: 智能用电管理  Android  Java  云端存储  主动负荷
英文关键词: intelligent electricity management  Android  Java  cloud storage  active load
基金项目:国家重点基础研究发展计划(973计划)(2013CB 228205);国家自然科学(51477055).
Author NameAffiliationE-mail
ZHENG Weinan* College of Electric Power,South China University of Technology 1340868763@qq.com 
CHEN Baixi College of Electric Power,South China University of Technology 403443278@qq.com 
WANG Dezhi College of Electric Power,South China University of Technology dezhi_3701@sina.com 
YU Tao College of Electric Power,South China University of Technology taoyu1@scut.edu.cn 
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中文摘要:
      在家庭能量管理基础上,结合智能电网的负荷调度,基于Android和Java编程设计了面向家庭用户的家庭智能用电管理系统。基于云端储存和通信技术,采用典型C/S架构,搭建了客户端APP、服务器后台程序及数据库和小型智能监测装置三方构成的系统框架,并设计了相应的通信和数据接口。详细介绍了软件程序的各功能模块,展示了面向用户的各类用电信息图线。结合主动配电网概念,通过包含微电源、负荷、储能设备的典型家庭实例,分析了智能用电管理对于降低家庭用电峰谷差的积极作用。应用效果证明,家庭智能用电管理系统能对新型主动家庭负荷进行综合优化调度,具有广阔发展前景。
英文摘要:
      Based on the HEMS, combining the load scheduling of smart grid, an Android-and-Java-based household intelligent electricity management system was designed for home users. The system is based on cloud storage and communication technologies. Adopting typical C/S architecture, a system framework composed of the client APP, the server daemon and database and the small intelligent monitoring devices was built, and the corresponding communication and data interfaces were designed. In this paper, each function module of the software program is introduced in detail, and all kinds of the user oriented power consumption information graphs are displayed. With the concept of active distribution network, this paper analyses the positive effect of the intelligent power management on reducing the peak and valley difference of household electricity through a typical household example which have micro sources, loads and energy storage devices. The application effect shows that the household intelligent electricity management system can conduct synthetically optimal scheduling on the new active household load, which is promising.
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