LOW-CARBON ECONOMIC DISPATCH OF VIRTUAL POWER PLANTS CONSIDERING WIND POWER, PHOTOVOLTAIC AND LOAD UNCERTAINTY

Lyu You; Mao Naixin; Qin Ruijun; Zhang Qian; Xin Xiaogang

doi:10.19912/j.0254-0096.tynxb.2023-1195

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Acta Energiae Solaris Sinica ›› 2024, Vol. 45 ›› Issue (11) : 116-123. DOI: 10.19912/j.0254-0096.tynxb.2023-1195

LOW-CARBON ECONOMIC DISPATCH OF VIRTUAL POWER PLANTS CONSIDERING WIND POWER, PHOTOVOLTAIC AND LOAD UNCERTAINTY

Lyu You¹, Mao Naixin¹, Qin Ruijun¹, Zhang Qian², Xin Xiaogang²

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Abstract

In view of the influence of uncertainty of wind, solar output and load forecast on power system dispatching, a low-carbon economic dispatching method for virtual power plants considering uncertainty is proposed in this paper. Firstly, the optimal dispatching model is established to minimize the total operating cost of virtual power plants. At the same time, considering the carbon emission of the virtual power plants, the stepped carbon trading model is added to the objective function for dispatching. Secondly, the fuzzy chance constraint algorithm is introduced to deal with the uncertainty of wind, solar output and load. Finally, the results of the example show the effectiveness of the proposed dispatching model, that is, the dispatching model considering fuzzy chance constraints and stepped carbon trading can effectively improve the penetration rate of new energy and reduce the carbon emissions of the system. On this basis, the risk can be controlled by setting the confidence level to ensure the safe and stable operation of the system.

Key words

renewable energy / carbon trading / uncertainty analysis / virtual power plant / fuzzy chance constraint

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Lyu You, Mao Naixin, Qin Ruijun, Zhang Qian, Xin Xiaogang. LOW-CARBON ECONOMIC DISPATCH OF VIRTUAL POWER PLANTS CONSIDERING WIND POWER, PHOTOVOLTAIC AND LOAD UNCERTAINTY[J]. Acta Energiae Solaris Sinica. 2024, 45(11): 116-123 https://doi.org/10.19912/j.0254-0096.tynxb.2023-1195

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