• CSCD核心库收录期刊
  • 中文核心期刊
  • 中国科技核心期刊

电力建设 ›› 2012, Vol. 33 ›› Issue (9): 1-5.

• 重点理论研究 •    下一篇

智能电网发展影响因素的解释结构模型分析

李金超1,牛东晓1,李金颖2   

  1. 1. 华北电力大学经济与管理学院
    2. 华北电力大学经济管理系
  • 收稿日期:2012-05-07 修回日期:2012-06-28 出版日期:2012-09-01 发布日期:2012-12-01
  • 通讯作者: 李金超 E-mail:gsyljch@163.com
  • 基金资助:

    国家自然科学基金

Analysis of Smart Grid Development Influencing Factors Based on Interpretative Structural Model

  • Received:2012-05-07 Revised:2012-06-28 Online:2012-09-01 Published:2012-12-01
  • Contact: Jin-Chao LI E-mail:gsyljch@163.com
  • Supported by:

    The National Natural Science Foundation of China

摘要:

智能电网是实现电网的可靠、安全、经济、高效、环境友好目标的必然选择,其发展受到很多因素的影响。以智能电网发展影响因素为研究对象,运用解释结构模型对影响智能电网发展的29项因素进行了分析。结果表明:影响因素分为6个层次,其中电力电子技术、电能质量优良需求、资源环境压力、政治经济环境、自然灾害威胁是最深层次的影响因素;电力系统综合智能规划技术、智能电网调度技术、智能型配电自动化技术、智能家居及智能用电小区、超导技术、多目标自趋优控制策略等为智能电网发展的直接影响因素;其他因素处在中间层次,发挥交叉衔接作用。

Abstract:

In order to realize the reliable, safety, economic, efficiency, In order to realize the reliable, safety, economic, efficiency and environmental friendly of electric grid, the smart grid is the inevitable choice. It is of great significance for the smart grid development to study hierarchy and relationship of its influencing factors. By taking the influencing factors of the smart grid development as the research object, the interpretative structural model was used to analyze the influencing factors of the smart grid development. The results show that the influencing factors contain 29 elements distributed in 6 layers: the electric power electronics technology, demand of electric power quality, pressure of resource and environment, political and economic environment, natural disasters threat are the deepest layer influencing factors; power system comprehensive intelligent programming techniques, smart grid dispatching technology, intelligent distribution automation technology, intelligent household and intelligent power consumption community, superconducting technology, multi-objective optimal control strategies are the directly influencing factors of the smart grid development; other factors in the middle layers, which play the cross cohesion function.

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