Research on the optimization method of multi-subject noncooperative game for coupled electricity-carbon system for efficient new energy consumption

Chang Liu; Na Li; Jie Bao; Shuai Luo; Wei Li; Yi Gao

doi:10.1117/12.2691847

23 August 2023 Research on the optimization method of multi-subject noncooperative game for coupled electricity-carbon system for efficient new energy consumption

Chang Liu, Na Li, Jie Bao, Shuai Luo, Wei Li, Yi Gao

Author Affiliations +

Proceedings Volume 12784, Second International Conference on Applied Statistics, Computational Mathematics, and Software Engineering (ASCMSE 2023); 127840L (2023) https://doi.org/10.1117/12.2691847
Event: 2023 2nd International Conference on Applied Statistics, Computational Mathematics and Software Engineering (ASCMSE 2023), 2023, Kaifeng, China

Abstract

With the high proportion of new energy sources represented by photovoltaic and wind power connected to the power system, and the global advocacy of green and low-carbon energy use, system optimization that considers multi-entity electricity and energy use and takes into account economy and low carbon becomes an urgent research problem. This paper establishes a non-cooperative game theory-based mathematical model of electricity-carbon coupled trading to achieve the optimal efficiency of electricity consumption and the minimum carbon emission by constructing a cost model of electricity and energy consumption of multiple entities and translating carbon emission reduction and carbon market trading into the internal cost of electricity and energy consumption of enterprises. The simulation calculations of the carbon market game model in the power market are carried out under various scenarios including considering different green certificate trading constraints and power system operation modes. The experimental results show that the multi-object non-cooperative game model and the optimal solution method established in this paper can effectively promote the development of new energy power generation enterprises, change the system electricity consumption pattern, and promote the consumption and efficient utilization of new energy power generation.

Citation Download Citation

Chang Liu, Na Li, Jie Bao, Shuai Luo, Wei Li, and Yi Gao "Research on the optimization method of multi-subject noncooperative game for coupled electricity-carbon system for efficient new energy consumption", Proc. SPIE 12784, Second International Conference on Applied Statistics, Computational Mathematics, and Software Engineering (ASCMSE 2023), 127840L (23 August 2023); https://doi.org/10.1117/12.2691847

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KEYWORDS

Carbon

Power consumption

Solar energy

Renewable energy

Decision making

Nonlinear optimization

Energy efficiency

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