Please use this identifier to cite or link to this item: https://hdl.handle.net/10356/98358
Title: Optimizations of power consumption and supply in the smart grid : analysis of the impact of data communication reliability
Authors: Niyato, Dusit
Dong, Qiumin
Wang, Ping
Hossain, Ekram
Keywords: DRNTU::Engineering::Computer science and engineering
Issue Date: 2013
Source: Niyato, D., Dong, Q., Wang, P., & Hossain, E. (2013). Optimizations of Power Consumption and Supply in the Smart Grid: Analysis of the Impact of Data Communication Reliability. IEEE Transactions on Smart Grid, 4(1), 21-35.
Series/Report no.: IEEE transactions on smart grid
Abstract: Data communications infrastructure will play an important role to transfer various information in smart grid. In this paper, we consider the reliability of the smart grid data communications infrastructure and its impact on the power consumption and supply optimizations. For optimizing the power consumption, we consider a deferrable load scheduling method which is modeled by using a constrained Markov decision process (CMDP) model, taking into account the unavailability of the home area network (HAN) and neighborhood area network (NAN) gateways. For optimizing the power supply, we consider an economic dispatch method which is modeled by using stochastic programming (SP), taking into account the unavailability of the exact power demand and supply information. The power consumption and supply costs are analyzed. In addition, we show how these costs can be reduced through the deployment of component redundancy in the smart grid data communications infrastructure.
URI: https://hdl.handle.net/10356/98358
http://hdl.handle.net/10220/17411
DOI: 10.1109/TSG.2012.2224677
Rights: © 2013 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works. The published version is available at: [http://dx.doi.org/10.1109/TSG.2012.2224677]
Fulltext Permission: open
Fulltext Availability: With Fulltext
Appears in Collections:SCSE Journal Articles

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