NDLI: Reliability analysis of phasor measurement unit incorporating hardware and software interaction failures

Content Provider	IET Digital Library
Author	Roy, Diptendu Sinha Murthy, Cherukuri Mohanta, Dusmanta Kumar
Abstract	As the electrical power system has increased in its geographical sprawl, adequate measures for reliability analysis for the wide area measurement system (WAMS) and phasor measurement units (PMUs) have become necessary. However, existing PMU reliability models are constrained by the assumption that PMU failures may be encountered either because of hardware failures or because of software failures only. Most modem safety critical systems, like the PMU are characterised by close proximity of hardware and software operations which leads to correlated failures. This is referred to as hardware–software interaction failure and is disregarded by contemporary PMU reliability models. In this paper, a modelling framework has been developed using Markov process that captures hardware–software interaction failures, apart from the hardware specific and software specific failures, and presents a Markov model-based unified PMU reliability model. This paper also offers a novel Monte Carlo simulation (MCS) technique to estimate PMU failure data to account for scanty PMU failure data from field installations. The novel algorithms for MCS based PMU failure estimation are expounded along with detailed methodologies for fitting the simulated failure data to the unified reliability model. The results presented herein demonstrate the improved accuracy of the proposed method.
Starting Page	164
Ending Page	171
Page Count	8
ISSN	17518687
Volume Number	9
e-ISSN	17518695
Issue Number	Issue 2, Jan (2015)
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/iet-gtd/9/2
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/10.1049/iet-gtd.2014.0115
Journal	IET Generation, Transmission & Distribution
Publisher Date	2014-07-24
Access Restriction	Open
Rights Holder	© The Institution of Engineering and Technology
Subject Keyword	Control of Electric Power System Geographically Dispersed System Hardware–software Interaction Failure Markov Process Markov Processes Monte Carlo Method Monte Carlo Simulation Phasor Measurement Phasor Measurement Unit PMU Power System Control Power System Measurement And Metering Power System Monitoring Power System Reliability Reliability Reliability Analysis Wide Area Measurement System
Content Type	Text
Resource Type	Article
Subject	Control and Systems Engineering Energy Engineering and Power Technology Electrical and Electronic Engineering

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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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