电器与能效管理技术 ›› 2023, Vol. 0 ›› Issue (8): 53-60.doi: 10.16628/j.cnki.2095-8188.2023.08.009

• 评估与预测技术 • 上一篇    下一篇

面向产业链特征挖掘和有序用电行业筛选的行业关联图模型

罗敏, 杨景旭, 周尚礼, 赖雨辰, 向睿, 郭杨运   

  1. 南方电网数字电网研究院有限公司 新型电力系统数字技术联合实验室, 广东 广州 510300
  • 收稿日期:2023-02-24 出版日期:2023-08-30 发布日期:2023-10-19
  • 作者简介:罗 敏(1985—),女,高级工程师,主要从事电动汽车与储能、用电大数据等研究。|杨景旭(1996—),男,研究员,主要从事电动汽车智能调控、需求响应等研究。|周尚礼(1968—),男,教授级高级工程师,主要从事智能量测、用电大数据深化应用、高压关键技术研究与管理。
  • 基金资助:
    中国南方电网有限责任公司科技项目(670000KK52210036)

Industry Correlation Chart Model for Industry Chain Feature Mining and Industry Screening for Orderly Electricity Consumption

LUO Min, YANG Jingxu, ZHOU Shangli, LAI Yuchen, XIANG Rui, GUO Yangyun   

  1. Joint Laboratory of New Power System Digital Technology, China Southern Power Grid Digital Grid Research Institute Co.,Ltd., Guangzhou 510300, China
  • Received:2023-02-24 Online:2023-08-30 Published:2023-10-19

摘要:

为更深入挖掘行业电量数据多维价值,支撑电网有序用电计划安排,提出了面向产业链特征挖掘和有序用电行业筛选的行业关联图模型。首先,考虑上下游产业链生产活动时差特性,提出了行业电能关联模型;其次,提出行业内向和外向用电特征评估模型及其特征发展趋势评估方法,提出行业敏感度和辐射强度来量化行业之间的电力需求影响程度和各行业对社会生产的辐射强度;随后,提出支撑有序用电行业筛选的行业关联矩阵和关联图。最后,通过算例验证,所提关联图模型能有效挖掘行业上下游关联关系的产业链特征,在有序用电行业筛选方面有巨大价值。

关键词: 产业链, 行业关联, 有序用电, 关联图, 行业用电

Abstract:

In order to further explore the multi-dimensional value of industry electricity data and support the orderly electricity consumption plan arrangement of the power grid, an industry correlation chart model for industry chain feature mining and industry screening for orderly electricity consumption is proposed.Firstly, considering the time difference characteristics of production activities in the upstream and downstream industrial chains, an industry electricity correlation model is proposed.Secondly, an industry inward and outward electricity consumption characteristics assessment model and its characteristic development trend assessment method are proposed. And the industry sensitivity and the radiation intensity are proposed to quantify the influence of power demand between industries and the radiation intensity of each industry on social production.Subsequently, the industry correlation matrix and correlation chart are proposed to support the industry screening for orderly electricity consumption. Finally, it is verified by the examples that the proposed correlation chart model can effectively explore the industry chain characteristics of upstream and downstream association relationships of industries, and has great value in the industry screening of orderly electricity consumption.

Key words: industrial chain, industry correlation, orderly electricity consumption, correlation chart, industry electricity

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