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Journal of System Simulation

Abstract

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.

First Page

1129

Last Page

1141

CLC

TP391.9

Recommended Citation

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.

Corresponding Author

Yang Guohua

DOI

10.16182/j.issn1004731x.joss.24-0349

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