BI-LEVEL OPTIMIZATION MODEL FOR MICRO ENERGY GRID CONSIDERING CARBON TRADING AND DEMAND RESPONSE

Duan Xinhui; Huang Rong; Qi Chuanjie; Chen Bowen

doi:10.19912/j.0254-0096.tynxb.2022-1711

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Acta Energiae Solaris Sinica ›› 2024, Vol. 45 ›› Issue (3) : 310-318. DOI: 10.19912/j.0254-0096.tynxb.2022-1711

BI-LEVEL OPTIMIZATION MODEL FOR MICRO ENERGY GRID CONSIDERING CARBON TRADING AND DEMAND RESPONSE

Duan Xinhui^1,2, Huang Rong¹, Qi Chuanjie¹, Chen Bowen¹

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Abstract

The global greenhouse effect is becoming more and more serious, and the construction and operation optimization of the micro energy grid plays an important role in realizing the goal of carbon reduction. This paper constructs a bi-level optimization configuration model for micro energy grids based on the basic architecture of micro energy grids, combining carbon trading and demand response with the objective function of minimizing the annual total cost. Combined with regional environmental data and annual typical day case analysis, the optimization model obtains the optimal planning configuration and the optimal daily operating output scheduling of each equipment under the configuration, which increases the installed capacity of renewable energy to obtain higher carbon emission right income compared with the basic model, and adjusts the flexible and controllable load of the customer side through demand response, which saves the total cost effectively under the premise of ensuring the capacity of renewable energy consumption. The results of the arithmetic example show that the model can enable the micro energy grid to promote the realization of carbon reduction goals while ensuring the system economy, which is important for the pre-planning and design of MEG.

Key words

carbon trading / demand response / energy management / micro energy grid / bi-level optimization

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Duan Xinhui, Huang Rong, Qi Chuanjie, Chen Bowen. BI-LEVEL OPTIMIZATION MODEL FOR MICRO ENERGY GRID CONSIDERING CARBON TRADING AND DEMAND RESPONSE[J]. Acta Energiae Solaris Sinica. 2024, 45(3): 310-318 https://doi.org/10.19912/j.0254-0096.tynxb.2022-1711

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