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考慮負荷時(shí)序特性的居民柔性資源低碳協(xié)同方法
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南京郵電大學(xué) 自動(dòng)化、人工智能學(xué)院

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國家自然科學(xué)基金項目(52077107)


Low Carbon Collaborative Method of Residential Flexible Resources Considering Load Timing Characteristics
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    摘要:

    在全球氣候問(wèn)題日益嚴峻的背景下,推動(dòng)低碳發(fā)展具有重要意義,為實(shí)現居民側用電低碳行為精準優(yōu)化,提出一種考慮負荷時(shí)序特性的居民柔性資源低碳協(xié)同方法;文章分析了居民柔性資源的需求響應特性,對各類(lèi)常見(jiàn)居民柔性資源進(jìn)行分類(lèi);并綜合考慮居民負荷的時(shí)間特性以及與外界環(huán)境因素的相關(guān)性,基于貝葉斯網(wǎng)絡(luò )構造居民柔性資源用能概率模型,進(jìn)一步分析了居民用電行為的時(shí)序特征,實(shí)現考慮時(shí)序特征的居民家電負荷舒適度建模;同時(shí)引入實(shí)時(shí)碳排放因子,考慮用戶(hù)舒適度等約束,提出了考慮負荷時(shí)序特性的居民柔性資源低碳協(xié)同優(yōu)化模型;仿真結果表明:所提優(yōu)化模型能在提高用戶(hù)用電經(jīng)濟性的同時(shí),有效降低用戶(hù)側的碳排放量,實(shí)現經(jīng)濟性、低碳性多目標趨優(yōu)。

    Abstract:

    In the context of increasingly severe global climate problems, it is of great significance to promote low-carbon development. In order to further optimize the low-carbon behavior of residential side electricity consumption, a low-carbon collaborative method of residential flexible resources was proposed considering the characteristics of load timing. This paper analyzes the demand response characteristics of resident flexible resources and classifies various common resident flexible resources. In addition, considering the time characteristics of residential load and its correlation with external environmental factors, the probability model of residential flexible resource energy use was constructed based on Bayesian network, and the time sequence characteristics of residential electricity consumption behavior were further analyzed, so as to realize the comfort modeling of household appliances load considering the time sequence characteristics. At the same time, the real-time carbon emission factor was introduced, and the constraints such as user comfort were taken into account. A low-carbon collaborative optimization model of residential flexible resources was proposed considering load timing characteristics. The simulation results show that the proposed optimization model can not only improve the electricity economy of the user, but also effectively reduce the carbon emission of the user side, so as to realize the multi-objective optimization of economy and low carbon.

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熊偉笑,高輝,陳璐,楊鳳坤.考慮負荷時(shí)序特性的居民柔性資源低碳協(xié)同方法計算機測量與控制[J].,2023,31(10):188-193.

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歷史
  • 收稿日期:2022-12-30
  • 最后修改日期:2023-02-03
  • 錄用日期:2023-02-07
  • 在線(xiàn)發(fā)布日期: 2023-10-26
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