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Journal of System Simulation

Authors

Yang Yu, State Key Laboratory of Alternate Electrical Power System with Renewable Energy Sources, North China Electric Power University, Baoding 071003, China; Key Laboratory of Distributed Energy Storage and Microgrid of Hebei Province, North China Electric Power University, Baoding 071003, China
Yuxing Xia, State Key Laboratory of Alternate Electrical Power System with Renewable Energy Sources, North China Electric Power University, Baoding 071003, China; Key Laboratory of Distributed Energy Storage and Microgrid of Hebei Province, North China Electric Power University, Baoding 071003, China
Wentao Lu, State Key Laboratory of Alternate Electrical Power System with Renewable Energy Sources, North China Electric Power University, Baoding 071003, China; Key Laboratory of Distributed Energy Storage and Microgrid of Hebei Province, North China Electric Power University, Baoding 071003, China
Mai Liu, State Key Laboratory of Alternate Electrical Power System with Renewable Energy Sources, North China Electric Power University, Baoding 071003, China; Key Laboratory of Distributed Energy Storage and Microgrid of Hebei Province, North China Electric Power University, Baoding 071003, China
Shixu Gao, State Key Laboratory of Alternate Electrical Power System with Renewable Energy Sources, North China Electric Power University, Baoding 071003, China; Key Laboratory of Distributed Energy Storage and Microgrid of Hebei Province, North China Electric Power University, Baoding 071003, China
Dongyang Chen, State Key Laboratory of Alternate Electrical Power System with Renewable Energy Sources, North China Electric Power University, Baoding 071003, China; Key Laboratory of Distributed Energy Storage and Microgrid of Hebei Province, North China Electric Power University, Baoding 071003, China

Abstract

Abstract: In order to reduce the output of high energy consuming units on the power generation side, increase the absorption capacity of wind power, and consider the flexible resource allocation such as load and energy storage, a two-level economic low-carbon optimal scheduling method for power systems based on a carbon storage and discharge model is proposed. Based on the carbon emission flow theory of power system, a model for load and energy storage equipment is established; A demand response model based on the electricity carbon coupling price is established on the load side, and in view of the limitation on the load side, a low-carbon scheduling strategy based on the carbon flow model for energy storage is established to realize a coordinated low-carbon scheduling strategy for load storage. Considering the economy and low carbon, a two-level optimal scheduling model including upper economic scheduling and lower low-carbon scheduling is established. Simulation on an improved IEEE- 14 bus system show that the proposed optimal scheduling method can reduce the wind abandonment, promote the replacement of high energy consumption units, and effectively reduce carbon emissions while ensuring the economy.

First Page

2288

Last Page

2299

CLC

TP391.9

Recommended Citation

Yu Yang, Xia Yuxing, Lu Wentao, et al. Two-level Optimal Dispatch of Power System Based on Loadstorage Carbon Flow Model[J]. Journal of System Simulation, 2024, 36(10): 2288-2299.

DOI

10.16182/j.issn1004731x.joss.23-0764

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