期刊文献+

基于价格博弈的需求侧管理智能控制系统研究 被引量:3

A Research on the Smart DSM Control System Based on Price Game
下载PDF
导出
摘要 在智能电网中,需求侧管理是优化资源利用的有效方法,供电公司可以通过采取合适的定价策略以改变用户的消费行为来调整负荷,从而使电力系统负荷峰均比最合理化,用户可根据电价信息规划自己的用电以降低用电费用。设计的智能控制系统具有双向通信功能,能够及时收集电力公司电价信息并及时发布用电计划,同时具有电力计量和智能用电分析功能,并分析了需求侧管理算法模型。最后给出了实验结果,表明可以大大降低用户消费,改善电力系统峰均比。 In smart grids, DSM is an effective method to optimize resource utilization. The power company may adjust the load by adopting a suitable pricing strategy to shape users' consuming behavior, thus achieving a most reasonable PAR for the power system load. Each user may schedule its power consumption according to price information so as to reduce its electricity payment. This paper designs a smart control system with bidirectional Communication function which can timely collect price information of the power company and publish power scheduling and has the functions of power measurement and intelligent power consumption analysis. Furthermore, this paper makes an analysis on a DSM algorithm model. Finally, it gives experimental results which show that this method can significantly reduce users' consumption and improve PAR of the electric power system.
出处 《电气自动化》 2017年第3期23-25,29,共4页 Electrical Automation
基金 南京工程学院创新基金资助(CKJB201309)
关键词 需求侧管理 智能控制系统 设备规划 价格博弈 峰均比 demand side management ( DSM ) intelligent control system equipment scheduling price game peak-to-average ratio ( PAR)
  • 相关文献

参考文献5

二级参考文献105

共引文献237

同被引文献32

引证文献3

二级引证文献24

相关作者

内容加载中请稍等...

相关机构

内容加载中请稍等...

相关主题

内容加载中请稍等...

浏览历史

内容加载中请稍等...
;
使用帮助 返回顶部