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采用可拓展交互式设计的负荷特性综合分析平台
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作者单位:

1. 智能电网教育部重点实验室(天津大学), 天津市 300072; 2. 天津市电力系统仿真控制重点实验室(天津大学), 天津市 300072; 3. 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

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Comprehensive Analysis Platform of Load Characteristics Based on Extendable and Interactive Design
Author:
Affiliation:

1. Key Laboratory of the Ministry of Education on Smart Power Grids(Tianjin University), Tianjin 300072, China; 2. Tianjin Key Laboratory of Power System Simulation and Control(Tianjin University), Tianjin 300072, China; 3. Electric Power Research Institute of State Grid Jiangsu Electric Power Co., Ltd., Nanjing 210008, China

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    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。

    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.

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引用本文

王守相,邓欣宇,陈海文,等.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. DOI:10.7500/AEPS20190126004.
WANG Shouxiang, DENG Xinyu, CHEN Haiwen,et al.Comprehensive Analysis Platform of Load Characteristics Based on Extendable and Interactive Design[J].Automation of Electric Power Systems,2019,43(20):176-182. DOI:10.7500/AEPS20190126004.

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  • 收稿日期:2019-01-26
  • 最后修改日期:2019-08-30
  • 录用日期:2019-07-18
  • 在线发布日期: 2019-08-29
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