Real-time Pricing Scheme Considering Incentive Factor between Multi-retailers and Multi-users in Smart Grid

doi:10.3969/j.issn.1007-7375.e16-3168

Abstract

Abstract: As a crucial part of demand response management (DRM) in smart grid, real-time pricing has become one of the open research hot spots. In order to optimize energy consumption, a Stackelberg game model is established to study the real-time pricing in view of the interaction behaviors between multiple power retailers and multiple users by using game theory. The existence of equilibrium is proved and analyzed. After that, a distributed algorithm is proposed to solve the equilibrium with only local information. In addition, an incentive factor for regulating the real-time electricity price information of retailers is put forward for keeping the power system operation stability and power supply and demand balance. Numerical simulation results show that the proposed algorithm converges quickly and the appropriate incentive factors may improve the satisfaction of users.

Key words: smart grid, demand response management, real-time pricing, incentive factor, Stackelberg game

CLC Number:

O225
TM73

DAI Yeming, GAO Yan, ZHU Hongbo, JIN Feng, YUAN Guanghui. Real-time Pricing Scheme Considering Incentive Factor between Multi-retailers and Multi-users in Smart Grid[J]. Industrial Engineering Journal , 2017, 20(1): 12-19.

References

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