DISTRIBUTED DEMAND-SIDE OPTIMIZATION WITH LOAD UNCERTAINTY

被引:0
|
作者
Lunden, Jarmo [1 ]
Werner, Stefan [1 ]
Koivunen, Visa [1 ]
机构
[1] Aalto Univ, SMARAD CoE, Dept Signal Proc & Acoust, Helsinki, Finland
关键词
Distributed demand-side management; load uncertainty; noncooperative game theory; smart grid; CONSUMPTION; MANAGEMENT;
D O I
暂无
中图分类号
O42 [声学];
学科分类号
070206 ; 082403 ;
摘要
Demand-side management will play a crucial role in balancing the energy generation and demand in future smart grids. In this paper, game-theoretic demand-side management algorithms are proposed for energy consumption scheduling under load uncertainty. The demand-side optimization and scheduling problem is formulated as a noncooperative cost minimization game among the end-users and an iterative algorithm that averages over the load uncertainty is proposed for solving it. The proposed algorithm is proven to converge to a Nash equilibrium. Simulation results show that taking into account the uncertainty in the load reduces significantly the load peak-to-average ratio and the hourly variation of the aggregate load profile.
引用
收藏
页码:5229 / 5232
页数:4
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