
重庆理工大学 电气与电子工程学院, 重庆市 巴南区,400054
Published:2025
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FU Shaoxin, WAN Wenlue, TANG Hanfeng, et al. Optimal Dispatching of an Integrated Energy System with Two-stage P2G Considering Carbon-green Certificate Trading and Flexible Demand Response[J]. 2025, (6): 1329-1338.
FU Shaoxin, WAN Wenlue, TANG Hanfeng, et al. Optimal Dispatching of an Integrated Energy System with Two-stage P2G Considering Carbon-green Certificate Trading and Flexible Demand Response[J]. 2025, (6): 1329-1338. DOI: 10.19725/j.cnki.1007-2322.2023.0260.
为提高综合能源系统的光伏、风电消纳能力,提升系统中各能源的利用效率和实现节能减排、低碳经济调度的目的,首先,考虑需求侧柔性负荷可灵活调度特性,基于用户侧电、气、冷、热可转移、可削减特性,建立了考虑负荷侧柔性需求响应的优化调度模型;其次,引入两阶段P2G机组,增加系统中各种能源的耦合程度;最终,考虑奖惩阶梯型碳交易机制和绿色证书交易机制参与系统优化调度,以系统运行总成本最低为目标函数,构建了一种考虑绿证交易及负荷侧柔性需求响应的含两阶段P2G的综合能源系统低碳经济调度模型。模型经线性化处理后,用MATLAB中的YALMIP工具箱进行编译,调用CPLEX求解器进行求解。对系统在4种不同场景下的运行结果进行分析,验证了该模型在减少碳排放量和降低系统运行总成本等方面的有效性,具有一定的工程实践意义。
In this paper we aim to enhance the consumption capacity of the photovoltaic and wind power in the integrated energy system
improve the utilization efficiency of various energy sources in the system
and realize energy conservation
emission reduction and low-carbon economic dispatch. Firstly
considering the flexible dispatching characteristics of flexible load on the demand side
an optimal scheduling model with flexible demand response on the load side taken into account is established based on the transferable and reducible characteristics of electricity
gas
cold and heat on the user side. Secondly
a two-stage P2G unit is introduced to increase the coupling degree of various energy sources within the system. Finally
considering that the reward-penalty ladder carbon trading mechanism and the green certificate trading mechanism participate in the optimal scheduling of the system
a low-carbon economic scheduling model of integrated energy system with two-stage P2G considering green certificate trading and load-side flexible demand response is constructed
with the lowest total operating cost of the system as the objective function. After linearization
the model is compiled using YALMIP toolbox in MATLAB and solved by CPLEX solver. The operation results of the system in four different scenarios are analyzed to verify the effectiveness of the model in reducing carbon emissions and the total cost of system operation
which has certain engineering practical significance.
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