首页|Temporal and Spatial Optimization for 5G Base Station Groups in Distribution Networks
Temporal and Spatial Optimization for 5G Base Station Groups in Distribution Networks
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With the large-scale connection of 5G base stations(BSs)to the distribution networks(DNs),5G BSs are utilized as flexible loads to participate in the peak load regulation,where the BSs can be divided into base station groups(BSGs)to real-ize inter-district energy transfer.A Stackelberg game-based opti-mization framework is proposed,where the distribution net-work operator(DNO)works as a leader with dynamic pricing for multi-BSGs;while BSGs serve as followers with the ability of demand response to adjust their charging and discharging strategies in temporal dimension and load migration strategy in spatial dimension.Subsequently,the presence and uniqueness of the Stackelberg equilibrium(SE)are provided.Moreover,differ-ential evolution is adopted to reach the SE and the optimization problem in multi-BSGs is decomposed to solve the time-space coupling.Finally,through simulation of a practical system,the results show that the DNO operation profit is increased via cut-ting down the peak load and the operation costs for multi-BSGs are reduced,which reaches a win-win effect.
5G base stationdynamic pricingdemand re-sponseenergy storageload migrationStackelberg gameopti-mization
Silu Zhang、Nian Liu、Jianpei Han
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Department of Electrical and Electronic Engineering,North China Electric Power University,Beijing,China
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