標題: Optimal Threshold Policy for In-Home Smart Grid with Renewable Generation Integration
作者: Liu, Gi-Ren
Lin, Phone
Fang, Yuguang
Lin, Yi-Bing
資訊工程學系
Department of Computer Science
關鍵字: Continuous-time Markov decision process;conventional power system;in-home smart grid;renewable power system
公開日期: 1-Apr-2015
摘要: In-home Smart Grid (SG), the integration of Renewable Power Systems (RPSs) with Conventional Power Systems (CPSs), calls for cost-effective management for the electricity usages of end users\' household appliances. In this paper, by taking the charging process of RPSs and multiple types of household appliances in to consideration, we have developed analytical models to characterize the electricity cost in the in-home smart grid. Based on these models, we formulate the electricity cost minimization problem as a finite-horizon continuous-time Markov decision process (CTMDP), from which we obtain a threshold policy to minimize the cost. Numerical results show that the threshold policy can manage the electricity usage very effectively.
URI: http://dx.doi.org/10.1109/TPDS.2014.2317171
http://hdl.handle.net/11536/124483
ISSN: 1045-9219
DOI: 10.1109/TPDS.2014.2317171
期刊: IEEE TRANSACTIONS ON PARALLEL AND DISTRIBUTED SYSTEMS
Volume: 26
起始頁: 1096
結束頁: 1105
Appears in Collections:Articles