计及多重影响因素的居民需求响应行为分析
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TM73

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江苏省重点研发计划资助项目(BE2020081-4)


Analysis of residents' demand response behavior considering multiple influencing factors
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the Natural Science Research Project of Jiangsu Higher Education Institutions(Study of limited rational decision making and long-term evolutionary characteristics of residents'' demand response, 20KJB470024)

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    摘要:

    居民用户需求响应的实施对于实现节能减排具有重要意义。为进一步促进居民需求响应,探究各种因素对居民需求响应参与度的影响程度,文中提出一种计及多重影响因素的居民需求响应行为分析方法。首先,根据居民参与需求响应的主要影响因素,即社交关系、属性影响以及自身意愿建立多重因素影响模型;其次,利用3层因素间的相互作用和居民决策过程的马尔可夫性质建立居民需求响应的马尔可夫决策方程,用以分析不同阶段居民参与需求响应的行为特性;最后,通过算例量化各因素对居民需求响应行为的影响程度。仿真结果表明,多重因素影响下的居民需求响应参与度低于仅考虑单方面因素下的参与度,且不同因素间的交互影响也会导致用户参与度的变化。

    Abstract:

    The implementation of residents' demand response (DR) is of great importance in achieving energy conservation and emission reduction. In order to further promote residents' DR and investigate the influence of various factors on DR participation,an approach for analyzing residents' DR behavior that considers multiple influencing factors is proposed in this paper. Firstly,a multi-factor influence model is developed based on the main influencing factors,namely social relationships,attribute influence and their own willingness. Secondly,based on the interaction among the three levels of factors and the Markov property of decision-making process,Markov decision equations are established for residents' DR,which are applied to analyze the characteristics of DR behavior at different stages. Finally,the influence of each factor on DR behavior is quantified through case study. The results show that the participation of residents in DR considering multiple influencing factors is lower than the participation influenced by one factor. Moreover,the interaction among different factors can also lead to the changes in residential participation.

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刘晓峰,陈雪颖,柏颖,王维.计及多重影响因素的居民需求响应行为分析[J].电力工程技术,2022,41(6):116-124

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  • 收稿日期:2022-06-12
  • 最后修改日期:2022-09-17
  • 录用日期:2021-12-29
  • 在线发布日期: 2022-11-24
  • 出版日期: 2022-11-28