Two-Layer Optimal Operation of AC–DC Hybrid Microgrid Considering Carbon Emissions Trading in Multiple Scenarios

Laiqing Yan, Yulin Zhao (), Tailin Xue, Ning Ma, Zhenwen Li and Zutai Yan
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Laiqing Yan: School of Electric Power, Civil Engineering and Architecture, Shanxi University, Taiyuan 030006, China
Yulin Zhao: School of Electric Power, Civil Engineering and Architecture, Shanxi University, Taiyuan 030006, China
Tailin Xue: School of Electric Power, Civil Engineering and Architecture, Shanxi University, Taiyuan 030006, China
Ning Ma: North China Electric Power Research Institute Co., Ltd., Beijing 100045, China
Zhenwen Li: School of Electric Power, Civil Engineering and Architecture, Shanxi University, Taiyuan 030006, China
Zutai Yan: School of Electric Power, Civil Engineering and Architecture, Shanxi University, Taiyuan 030006, China

Sustainability, 2022, vol. 14, issue 17, 1-20

Abstract: To address the problem of low-carbon, optimal operation of AC–DC hybrid microgrids, a carbon trading mechanism is introduced and the impact of multiple uncertainties on system optimization is considered. Firstly, a two-layer model with the comprehensive economy of the hybrid microgrid as the upper layer and the respective optimal operation of the AC and DC sub-microgrids as the lower layer is established and the demand-side response is introduced, based on which the uncertainty of the scenery load is simulated using the multiscenario analysis method. Then, the baseline method is used to allocate carbon emission allowances to the system without compensation, and the actual carbon emissions of diesel engines, microcombustion engines, and fuel cells are considered to construct a hybrid microgrid. Finally, the model is solved using the CPLEX solver in conjunction with the calculation example, and the simulation verifies the effectiveness and feasibility of the proposed strategy in coordinating and optimizing the economy and low carbon of the system. The results show that when the carbon trading mechanism is considered, the carbon emission of the hybrid microgrid is reduced by 4.95%, the output power of the diesel generator is reduced by 5.14%, the output power of the fuel cell is reduced by 18.22%, but the electricity purchase from the power grid is increased by 38.91%. In addition, the influence degrees of the model considering the uncertainty of renewable energy and load are simulated. Furthermore, the impact of different electricity price models on optimal operation is evaluated, and the results show that electricity price will affect electricity purchase from the power grid and further affect carbon emissions.

Keywords: AC–DC hybrid microgrid; optimal operation; carbon trading; scenario analysis (search for similar items in EconPapers)
JEL-codes: O13 Q Q0 Q2 Q3 Q5 Q56 (search for similar items in EconPapers)
Date: 2022
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (2)

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