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

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考慮柔性負(fù)荷與階梯碳交易機(jī)制的綜合能源優(yōu)化調(diào)度

來源:電工電氣發(fā)布時(shí)間:2024-06-03 16:03瀏覽次數(shù):332

考慮柔性負(fù)荷與階梯碳交易機(jī)制的綜合能源優(yōu)化調(diào)度

黃傳峰1,陶之朋2,白標(biāo)2,金衛(wèi)健1
(1 南京工程學(xué)院 經(jīng)濟(jì)與管理學(xué)院,江蘇 南京 211167;
2 南京工程學(xué)院 電力工程學(xué)院,江蘇 南京 211167)
 
    摘 要:為了推進(jìn)綜合能源系統(tǒng)的綠色低碳轉(zhuǎn)型,提出了考慮柔性負(fù)荷與階梯碳交易機(jī)制的綜合能源優(yōu)化調(diào)度策略。在系統(tǒng)運(yùn)行成本方面,將需求側(cè)負(fù)荷分為基礎(chǔ)負(fù)荷與柔性負(fù)荷兩部分,并且引入了需求響應(yīng)優(yōu)化系統(tǒng)運(yùn)行;在低碳層面,建立了階梯碳交易模型對系統(tǒng)碳排放進(jìn)行了約束,并在建?;A(chǔ)上,提出了以運(yùn)行總成本與碳交易成本之和最低為目標(biāo)函數(shù)的優(yōu)化調(diào)度策略。對建立的模型線性化后過 CPLEX 求解,通過構(gòu)建 4 個(gè)不同場景對比分析,驗(yàn)證了所提策略的有效性。
    關(guān)鍵詞: 綜合能源系統(tǒng);需求響應(yīng);低碳;柔性負(fù)荷;階梯碳交易
    中圖分類號:TM734 ;F407.2     文獻(xiàn)標(biāo)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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