Optimal threshold policy for in-home smart grid with renewable generation integration

Gi Ren Liu; Phone Lin; Yuguang Fang; Yi Bing Lin

doi:10.1109/TPDS.2014.2317171

Optimal threshold policy for in-home smart grid with renewable generation integration

Gi Ren Liu, Phone Lin, Yuguang Fang, Yi Bing Lin

Department of Mathematics

Research output: Contribution to journal › Article › peer-review

10 Citations (Scopus)

Abstract

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.

Original language	English
Article number	6797861
Pages (from-to)	1096-1105
Number of pages	10
Journal	IEEE Transactions on Parallel and Distributed Systems
Volume	26
Issue number	4
DOIs	https://doi.org/10.1109/TPDS.2014.2317171
Publication status	Published - 2015 Apr 1

All Science Journal Classification (ASJC) codes

Signal Processing
Hardware and Architecture
Computational Theory and Mathematics

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AB - 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.

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Optimal threshold policy for in-home smart grid with renewable generation integration

Abstract

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