Modeling and Optimization of Carbon Cycle of Agricultural Energy Internet Based on Renewable Energy

doi:10.12204/j.issn.1000-7229.2022.10.001

Abstract

Abstract:

In the context of the “double carbon” goal, higher requirements have been put forward for energy conservation and emission reduction in the energy and agricultural fields. As a product of the deep coupling of energy and agriculture, the Agricultural Energy Internet is an important means to achieve “carbon neutrality”. This paper proposes an accounting method for the carbon cycle of the Agricultural Energy Internet and an optimal operation strategy for the Agricultural Energy Internet that takes into account agricultural flexible loads and carbon trading. Firstly, this paper constructs an accounting model for carbon emissions of photovoltaic generation and cogeneration in agricultural parks. Secondly, taking the lowest daily operating cost of the park as the objective function, considering the constraints of equality and inequality, an optimal scheduling model is constructed. Finally, the optimization model is simulated by taking the agricultural energy internet of a certain park as the research object, the carbon emissions in the park are calculated in detail, and the correctness of the carbon model is verified by comparing with other agricultural parks. The results show that the optimal scheduling strategy can effectively reduce the carbon emissions of agricultural parks and achieve “carbon neutrality”.

Key words: agricultural energy internet, carbon emission, optimized scheduling operation, agriculture carbon neutral

CLC Number:

TM732

NIU Haosen, FU Xueqian. Modeling and Optimization of Carbon Cycle of Agricultural Energy Internet Based on Renewable Energy[J]. ELECTRIC POWER CONSTRUCTION, 2022, 43(10): 1-15.

Figures/Tables 18

Fig.1 Content of carbon accounting

Fig.2 Agricultural energy internet and carbon cycle framework

Table 1 Parameters of some energy equipment

Table 2 Accounting parameters of carbon emissions and carbon allowance

Table 3 Time-of-use electricity price in Qingdao, Shandong province

Fig.3 Daily power curve in summer solstice

Fig.4 Daily power curve in winter solstice

Fig.5 Typical daily power curve in transition season

Fig.6 The results before and after the optimization in summer solstice

Table 4 Optimized results of carbon emissions in summer solstice

Table 5 Optimized results of operating costs in summer solstice 元

Fig.7 The results before and after the optimization in winter solstice

Table 6 Optimized results of carbon emissions in winter solstice t

Table 7 Optimized results of operating costs in winter solstice 元

Fig.8 The results before and after the typical day optimization in transition season

Table 8 Optimized results of typical daily carbon emissions in transition season t

Table 9 Optimized results of typical daily operating costs in transition season 元

Table 10 Analysis of the total carbon emissions of the park throughout the year

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