计及风光不确定性的CCS-P2G耦合运行虚拟电厂优化调度

doi:10.16182/j.issn1004731x.joss.24-0349

摘要/Abstract

摘要：

针对风光出力的不确定性容易对虚拟电厂调度产生影响的问题，提出了基于信息间隙决策理论（information gap decision theory，IGDT）的新型虚拟电厂优化调度模型。为了降低系统的碳排放，对热电联产机组加装碳捕集（carbon capture and storage，CCS）系统；为了提高可再生能源的利用率，在系统中引入电转气（power to gas，P2G）装置，提出CCS-P2G耦合的运行模式；在CCS-P2G耦合运行的基础上基于信息间隙决策理论考虑了风光出力的不确定性。通过CPLEX求解器对所建模型进行求解，结果表明，在CCS-P2G耦合运行下，风光出力的利用率达到100%，系统的运行成本降低了12.3%，有效提升了系统的经济性和低碳性；在IGDT策略下通过成本预留，在风光出力的不确定度不超过上限时，能实现调度周期内对虚拟电厂运行的有效管控。

关键词: 虚拟电厂, 不确定性, 信息间隙决策理论, 碳捕集, 电转气

Abstract:

In order to solve the problem that the uncertainty of wind power and photovoltaic power generation output easily affects the scheduling of virtual power plant, a new optimal scheduling model of virtual power plant is proposed based on information gap decision theory (IGDT) . In order to reduce the carbon emission of the system, carbon capture and storage (CCS) is installed on the combined heat and power units; in order to improve the utilization rate of renewable energy, the power to gas (P2G) device is introduced into the system, and the operation mode of CCS-P2G coupling is proposed; based on the operation of CCS-P2G coupling, the uncertainty of wind power and photovoltaic power generation output is considered based on the information gap decision theory. The model is solved by CPLEX solver, and the results show that under the coupled operation of CCS-P2G, the utilization rate of solar and wind power reaches 100%, the operating cost of the system is reduced by 12.3%, and the economy and low carbon of the system are effectively improved; under the IGDT strategy, when the uncertainty of wind power and photovoltaic power generation output does not exceed the upper limit through cost reservation, the virtual power plant operation can be effectively controlled within the scheduling cycle.

Key words: virtual power plant, uncertainty, information gap decision theory, carbon capture and storage, power to gas

中图分类号:

TP391.9

金旭荣,尹江,杨国华等 . 计及风光不确定性的CCS-P2G耦合运行虚拟电厂优化调度[J]. 系统仿真学报, 2025, 37(5): 1129-1141.

Jin Xurong,Yin Jiang,Yang Guohua,et al . Optimal Scheduling of Virtual Power Plant with Coupled Operation of CCS-P2G Considering Wind and Photovoltaic Uncertainty[J]. Journal of System Simulation, 2025, 37(5): 1129-1141.

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场景	场景1	场景2	场景3
燃料成本	30 837.96	30 953.85	30 388.70
购电成本	776.06	776.64	760.62
碳交易成本	-3 054.74	-5 597.01	-5 608.93
惩罚成本	2 704.91	880.49	0
系统运行成本	34 059.11	30 170.11	29 868.54

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