Optimal Threshold Policy for In-Home Smart Grid with Renewable Generation Integration

被引：11

作者：

Liu, Gi-Ren ^{[1
]}

Lin, Phone ^{[2
]}

Fang, Yuguang ^{[3
]}

Lin, Yi-Bing ^{[4
]}

机构：

[1] Natl Sun Yat Sen Univ, Wireless Broadband Commun Protocol Cross Campus R, Kaohsiung 80424, Taiwan

[2] Natl Taiwan Univ, Dept Comp Sci & Informat Engn, Taipei 10764, Taiwan

[3] Univ Florida, Dept Elect & Comp Engn, Gainesville, FL 32611 USA

[4] Natl Chiao Tung Univ, Dept Comp Sci, Hsinchu 300, Taiwan

来源：

IEEE TRANSACTIONS ON PARALLEL AND DISTRIBUTED SYSTEMS | 2015年 / 26卷 / 04期

基金：

美国国家科学基金会;

关键词：

Continuous-time Markov decision process; conventional power system; in-home smart grid; renewable power system; MANAGEMENT; RELIABILITY; CONSUMPTION; SYSTEM;

D O I：

10.1109/TPDS.2014.2317171

中图分类号：

TP301 [理论、方法];

学科分类号：

081202 ;

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.

引用

页码：1096 / 1105

页数：10

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