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考虑源-荷双向灵活的含CCP-LCDR的区域综合能源系统低碳调度优化
邓俊峰, 李振华, 李振兴, 徐艳春, 王秋杰
电力建设 ›› 2025, Vol. 46 ›› Issue (12) : 107-118.
PDF(2747 KB)
PDF(2747 KB)
考虑源-荷双向灵活的含CCP-LCDR的区域综合能源系统低碳调度优化
Low-Carbon Scheduling Optimization of Regional Integrated Energy Systems with CCP-LCDR Considering Bidirectional Flexibility of Source and Load
【目的】 为降低电力系统碳排放量,提高清洁能源消纳率,以总成本最小化为目标,提出一种基于热电联产(combined heat and power,CHP)-碳捕集(carbon capture and storage,CCS)-电转气(power-to-gas,P2G) (CCP)耦合机制和低碳需求响应(low-carbon demand response,LCDR)的多能耦合区域综合能源系统(regional integrated energy systems,RIES)协同优化方法,构建源-荷双向灵活低碳调度模型。 【方法】 首先,在供给侧引入碳交易-绿色证书机制,建立基于基准线法的碳排放分配模型,激励系统消纳可再生能源;其次,以CHP-CCS-P2G多能耦合机组为基础,通过碳循环利用与能量梯级转化,实现系统能效提升;然后,荷侧引入计及负荷特性差异的低碳需求响应机制,建立基于价格弹性矩阵的电、热负荷双向互动机制,以降低负荷峰谷差值;最后,以中国南方某城市某行政区的电力相关数据进行相关仿真实验。 【结果】 结果表明,在所提方法下,系统的碳排放和运行成本均有下降,风光消纳能力有所提高,其中场景6较基础场景的运行成本减少了5.26%。 【结论】 所提方法可使得碳元素形成闭环转化,有效降低传统发电机组的出力,增加新能源的上网功率,同时可通过激励信号实现“削峰填谷”,降低系统的碳排放,使系统处于低碳经济运行状态。
[Objective] To reduce carbon emissions in the power system and improve the adoption rate of clean energy with the goal of minimizing total cost,a multi-energy coupling regional integrated energy systems (RIES) collaborative optimization method based on combined heat and power (CHP) with a carbon capture and storage (CCS) power-to-gas (P2G) (CCP) coupling mechanism and low-carbon demand response (LCDR) is proposed. We also introduce a source-load bidirectionally flexible low-carbon scheduling model. [Methods] First,a carbon trading and green certificate mechanism is introduced on the supply side,and a carbon emission allocation model based on the baseline method is established to incentivize the system to consume renewable energy. Secondly,based on the CHP-CCS-P2G multi-energy coupling unit,the energy efficiency of the system can be improved through carbon recycling and energy cascade conversion. Then,the load side introduces a low-carbon demand response mechanism that takes into account differences in load characteristics to establish a bidirectional interaction mechanism between electricity and heat loads based on price elasticity matrices to reduce peak-to-valley load differences. Simulation experiments were conducted using data on electricity consumption from an administrative district in a city in southern China. [Results] The results showed that the carbon emissions and operating costs of the system were reduced using the proposed method,and the wind and solar power consumption capacity of the system was improved. In particular,operating costs were reduced by up to 5.26 % compared with the basic scenario. [Conclusions] The proposed method can form a closed-loop conversion of carbon elements to reduce the output of traditional power generation units,increase the grid power of new energy,and achieve "peak shaving and valley filling" through excitation signals. Thus,the proposed approach is designed to reduce carbon emissions and support the transition to a low-carbon economy.
源-荷双向灵活 / 低碳需求响应(LCDR) / 区域综合能源系统(RIES) / 低碳经济调度
bi-directional flexibility between supply and demand / low-carbon demand response (LCDR) / regional integrated energy system (RIES) / low-carbon economic dispatch
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Aiming at the current low-carbon scheduling on the load side of a single low-carbon means, and the source and load sides of the carbon reduction method being relatively independent of the lack of linkage, this study establishes a two-layer low-carbon optimization scheduling model of a power system considering the source-load carbon potential coupling in the market a few days ago. The upper model is based on the ladder carbon trading market, calculates the carbon market transaction cost of the source side, and establishes a low-carbon economic dispatch model of the power system considering the source-load carbon potential constraints in accordance with the load classification, and solves the initial scheduling scheme of the units; the lower model adopts the theory of carbon emission flow, and calculates the carbon potential indexes of each node of the load side and the carbon emission responsibility sharing amount, and establishes a two-layer low-carbon optimization dispatch model of the power system considering the source-load carbon potential constraints. The lower model employs the carbon emission flow theory to calculate the carbon potential index of each node on the load side and the carbon emission responsibility sharing amount based on the scheduling scheme of the upper model, establishes a multi-type demand response model on the load side, and utilizes the user-side regulation ability to optimize the load distribution to further realize low-carbon system benefits. Finally, under the premise of wind power uncertainty modeling, an example analysis is conducted based on the improved IEEE 30-node system, and the results indicate that the scheduling method can effectively promote wind power consumption and reduce carbon emissions.
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