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Journal of System Simulation

Abstract

Abstract: In order to overcome the impact of source-load uncertainty on the scheduling of integrated energy systems (IES) and reflect the flexibility of the carbon trading price with the change in trading volume, an optimal scheduling method for integrated energy systems considering source-load uncertainty and linear carbon trading was proposed. The equipment within the IES was modeled, and nonparametric kernel density estimation was used to obtain the probability density function for each time period, generating the set of scenes through Monte Carlo simulation and calculating the probability of each scene. For the time shift of wind and solar output peaks and fluctuations, the scene set was processed using a scene reduction method that integrated the dynamic time warping (DTW) distance and K-medoids clustering to obtain the typical scenes and probabilities. A linear carbon trading mechanism was designed, which was derived from the ladder carbon trading mechanism, and an IES optimization scheduling model was established. The simulation results show that the proposed method can effectively promote the low-carbon operation of the IES.

First Page

2485

Last Page

2499

CLC

TP391.9

Recommended Citation

Zhong Huaping, Fan Yubo, Shui Jijun, et al. Optimal Scheduling of Integrated Energy Systems Considering Source-load Uncertainty and Linear Carbon Trading[J]. Journal of System Simulation, 2025, 37(10): 2485-2499.

Corresponding Author

Peng Daogang

DOI

10.16182/j.issn1004731x.joss.25-0521

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