Pricing strategy of micro-grid power transaction based on leader-follower game theory

Pengfei Wang; Chao Tang

doi:10.1117/12.2660663

16 December 2022 Pricing strategy of micro-grid power transaction based on leader-follower game theory

Pengfei Wang, Chao Tang

Proceedings Volume 12500, Fifth International Conference on Mechatronics and Computer Technology Engineering (MCTE 2022); 1250012 (2022) https://doi.org/10.1117/12.2660663
Event: 5th International Conference on Mechatronics and Computer Technology Engineering (MCTE 2022), 2022, Chongqing, China

Abstract

To improve the market operation income of power enterprises and realize the rationality of power transaction pricing, a new pricing method for micro-grid power transactions is designed by introducing the leader-follower game theory. Aiming at that micro-grid electric energy time-sharing and internal transaction price transaction target, different electricity price levels are designed according to the load condition of the electric energy in different periods in the power supply process. Corresponding transaction price objective functions are constructed. A dynamic utility function of electric energy transaction price is established according to that leader-follower relationship between the trader and the insider in the transaction process. The dynamic decision of the electric energy transaction price is made according to the position and suggestion weight of the slave in the auxiliary decision. According to the actual situation, demand, and industrial development scale of power enterprises in the market, taking the optimal revenue as the core, the final pricing design of the micro-grid power transaction is carried out. Design comparison experiments show that the proposed pricing strategy has high application feasibility and can effectively promote the economic benefits of the micro-grid.

Citation Download Citation

Pengfei Wang and Chao Tang "Pricing strategy of micro-grid power transaction based on leader-follower game theory", Proc. SPIE 12500, Fifth International Conference on Mechatronics and Computer Technology Engineering (MCTE 2022), 1250012 (16 December 2022); https://doi.org/10.1117/12.2660663

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Solar energy

Wind energy

Power supplies

Photovoltaics

Reliability

Data modeling

Renewable energy

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