NDLI: A preliminary study of power system reliability considering cloud service reliability

Content Provider	IEEE Xplore Digital Library
Author	Yingmeng Xiang Lingfeng Wang Tian Fu
Copyright Year	2014
Description	Author affiliation: Dept. of Electr. Eng. & Comput. Sci., Univ. of Wisconsin-Milwaukee, Milwaukee, WI, USA (Yingmeng Xiang; Lingfeng Wang) \|\| Dept. of Electr. Eng. & Comput. Sci., Univ. of Toledo, Toledo, OH, USA (Tian Fu)
Abstract	Smart grid development heavily relies on the powerful and reliable computing infrastructure due to the high volume of data generated. Cloud computing is a promising technology to satisfy the increasing computing demand for the smart grid applications. However, the cloud service is not fully reliable considering the probable failures in its associated hardware, software or communication facilities. So far little research has been conducted for quantifying the impact of cloud service reliability on the overall power supply reliability. In this paper, a cloud-physical bridge is developed to evaluate the impact of cloud service on power system reliability. A framework for power system reliability analysis is proposed by incorporating cloud service reliability. An illustrative example is presented based on a representative IEEE reliability test system, where a suite of decision making tools are outsourced as a cloud service for aiding in power dispatch in various scenarios. Simulation results show that power system reliability may be impacted by the unreliability of cloud service, and the effect is non-negligible. Also the results obtained from a sensitivity study indicate that alternative decision-making support tools will be necessary to maintain the power system reliability in the absence of reliable cloud services.
Starting Page	2031
Ending Page	2036
File Size	885956
Page Count	6
File Format	PDF
ISBN	9781479950324
DOI	10.1109/POWERCON.2014.6993999
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2014-10-20
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Power system reliability Software reliability Cloud computing Decision making Upper bound Smart Grid Power System Reliability Cloud Service Reliability Cloud-physical Systems
Content Type	Text
Resource Type	Article

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4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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