首页 | 本学科首页   官方微博 | 高级检索  
     

采用可拓展交互式设计的负荷特性综合分析平台
引用本文:王守相,邓欣宇,陈海文,郭陆阳,支亚薇,李志新.采用可拓展交互式设计的负荷特性综合分析平台[J].电力系统自动化,2019,43(20):176-182.
作者姓名:王守相  邓欣宇  陈海文  郭陆阳  支亚薇  李志新
作者单位:智能电网教育部重点实验室(天津大学),天津市300072;天津市电力系统仿真控制重点实验室(天津大学),天津市300072;国网江苏省电力有限公司电力科学研究院,江苏省南京市,210008
摘    要:基于多源数据的负荷特性分析可以提高配用电的智能化水平,为开展用户属性辨识、负荷监测、需求响应分析等提供指导。为了增加上述功能开发的便捷性,提高配用电综合分析能力,搭建了以负荷特性分析功能为核心,能够拓展高级功能的交互式负荷特性综合分析平台。该平台采用Brower/Server架构,能够跨平台、适配多类终端,实现“一次设计,全局使用”;利用Django框架实现可拓展设计,并集成多种算法与数据,为负荷特性分析提供便利;基于HTML5技术实现交互式设计,并通过Canvas渲染方案提升大数据背景下平台的可视化效果。通过日前负荷预测实例验证了所提负荷特性综合分析平台的有效性和优越性。

关 键 词:负荷特性  需求响应  可拓展设计  交互式设计  数据可视化
收稿时间:2019/1/26 0:00:00
修稿时间:2019/8/30 0:00:00

Comprehensive Analysis Platform of Load Characteristics Based on Extendable and Interactive Design
WANG Shouxiang,DENG Xinyu,CHEN Haiwen,GUO Luyang,ZHI Yawei and LI Zhixin.Comprehensive Analysis Platform of Load Characteristics Based on Extendable and Interactive Design[J].Automation of Electric Power Systems,2019,43(20):176-182.
Authors:WANG Shouxiang  DENG Xinyu  CHEN Haiwen  GUO Luyang  ZHI Yawei and LI Zhixin
Affiliation:Key Laboratory of the Ministry of Education on Smart Power Grids(Tianjin University), Tianjin 300072, China; Tianjin Key Laboratory of Power System Simulation and Control(Tianjin University), Tianjin 300072, China,Key Laboratory of the Ministry of Education on Smart Power Grids(Tianjin University), Tianjin 300072, China; Tianjin Key Laboratory of Power System Simulation and Control(Tianjin University), Tianjin 300072, China,Key Laboratory of the Ministry of Education on Smart Power Grids(Tianjin University), Tianjin 300072, China; Tianjin Key Laboratory of Power System Simulation and Control(Tianjin University), Tianjin 300072, China,Key Laboratory of the Ministry of Education on Smart Power Grids(Tianjin University), Tianjin 300072, China; Tianjin Key Laboratory of Power System Simulation and Control(Tianjin University), Tianjin 300072, China,Electric Power Research Institute of State Grid Jiangsu Electric Power Co., Ltd., Nanjing 210008, China and Electric Power Research Institute of State Grid Jiangsu Electric Power Co., Ltd., Nanjing 210008, China
Abstract:Load characteristic analysis based on multi-source data can improve the intelligence level of power distribution and utilization, and provide guidance for socio-demographic information identification, load monitoring and demand response analysis. In order to increase the convenience of the development of the above functions and improve the comprehensive analysis ability of power distribution, an interactive comprehensive analysis platform with load characteristic analysis function as the core, which can expand advanced functions, is built. The platform adopts Browser/Server architecture, which can cross platforms and adapt multiple terminals to realize one-time design and global use. At the same time, Django framework is used to realize extensible design, and a variety of algorithms and data are integrated to provide convenience for analysis. It realizes interactive design based on HTML5 technology and improves the visualization level of the platform under the background of big data through Canvas rendering scheme. The effectiveness and superiority of the comprehensive analysis platform are verified by a test case of day-ahead load forecasting.
Keywords:load characteristic  demand response  extendable design  interactive design  data visualization
本文献已被 万方数据 等数据库收录!
点击此处可从《电力系统自动化》浏览原始摘要信息
点击此处可从《电力系统自动化》下载全文
设为首页 | 免责声明 | 关于勤云 | 加入收藏

Copyright©北京勤云科技发展有限公司  京ICP备09084417号