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    Suzhou Electric Appliance Research Institute
    期刊號: CN32-1800/TM| ISSN1007-3175

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    考慮柔性負荷與階梯碳交易機制的綜合能源優化調度

    來源:電工電氣發布時間:2024-06-03 16:03瀏覽次數:60

    考慮柔性負荷與階梯碳交易機制的綜合能源優化調度

    黃傳峰1,陶之朋2,白標2,金衛健1
    (1 南京工程學院 經濟與管理學院,江蘇 南京 211167;
    2 南京工程學院 電力工程學院,江蘇 南京 211167)
     
        摘 要:為了推進綜合能源系統的綠色低碳轉型,提出了考慮柔性負荷與階梯碳交易機制的綜合能源優化調度策略。在系統運行成本方面,將需求側負荷分為基礎負荷與柔性負荷兩部分,并且引入了需求響應優化系統運行;在低碳層面,建立了階梯碳交易模型對系統碳排放進行了約束,并在建?;A上,提出了以運行總成本與碳交易成本之和最低為目標函數的優化調度策略。對建立的模型線性化后過 CPLEX 求解,通過構建 4 個不同場景對比分析,驗證了所提策略的有效性。
        關鍵詞: 綜合能源系統;需求響應;低碳;柔性負荷;階梯碳交易
        中圖分類號:TM734 ;F407.2     文獻標識碼:A     文章編號:1007-3175(2024)05-0011-08
     
    Comprehensive Energy Optimization Scheduling Considering Flexible
    Loads and Stepped Carbon Trading Mechanisms
     
    HUANG Chuan-feng1, TAO Zhi-peng2, BAI Biao2, JIN Wei-jian1
    (1 School of Economics & Management, Nanjing Institute of Technology, Nanjing 211167, China;
    2 School of Electric Power Engineering, Nanjing Institute of Technology, Nanjing 211167, China)
     
        Abstract: In order to promote the green and low-carbon transformation of the comprehensive energy system, a comprehensive energy optimal scheduling strategy considering flexible load and stepped carbon trading mechanism is proposed. Firstly, in terms of system operation cost, the demand side load is divided into two parts: base load and flexible load, and the demand response optimization system operation is introduced. Secondly, at the low-carbon level, a stepped carbon trading model is established to constrain the carbon emissions of the system.Finally, based on the modeling, an optimal scheduling strategy with the lowest sum of total operating cost and carbon trading cost as the objective function is proposed. The established model is linearized and solved by CPLEX, and the effectiveness of the proposed strategy is verified by constructing four different scenarios for comparative analysis.
        Key words: comprehensive energy system; demand response; low-carbon; flexible load; stepped carbon trading
     
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