An approximated multi-state model for reliability evaluation of renewable generation

© 2016 IEEE. Reliability evaluation of power generation system is complicated with the integration of renewable sources, especially wind turbine and photovoltaics, whose generation characteristics are intermittent and time-varying. The concept of equivalent forced outage rate is conventionally utili...

Full description

Saved in:
Bibliographic Details
Main Authors: Kunjana Chaiamarit, Somboon Nuchprayoon
Format: Conference Proceeding
Published: 2018
Subjects:
Online Access:https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=84988373370&origin=inward
http://cmuir.cmu.ac.th/jspui/handle/6653943832/55679
Tags: Add Tag
No Tags, Be the first to tag this record!
Institution: Chiang Mai University
id th-cmuir.6653943832-55679
record_format dspace
spelling th-cmuir.6653943832-556792018-09-05T03:00:33Z An approximated multi-state model for reliability evaluation of renewable generation Kunjana Chaiamarit Somboon Nuchprayoon Energy Engineering © 2016 IEEE. Reliability evaluation of power generation system is complicated with the integration of renewable sources, especially wind turbine and photovoltaics, whose generation characteristics are intermittent and time-varying. The concept of equivalent forced outage rate is conventionally utilized to simplify the computation burden. It is proposed to apply a multi-state model to express the variable generation of renewable sources. Number of de-rated states and corresponding de-rated capacities can be simplified by considering the plant factor. It is claimed that a number of certain capacity states may be neglected. Generation system reliability may be evaluated using two classical indices: loss of load probability and expected energy not supplied. 2018-09-05T02:59:43Z 2018-09-05T02:59:43Z 2016-08-29 Conference Proceeding 2-s2.0-84988373370 10.1109/EEEIC.2016.7555667 https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=84988373370&origin=inward http://cmuir.cmu.ac.th/jspui/handle/6653943832/55679
institution Chiang Mai University
building Chiang Mai University Library
country Thailand
collection CMU Intellectual Repository
topic Energy
Engineering
spellingShingle Energy
Engineering
Kunjana Chaiamarit
Somboon Nuchprayoon
An approximated multi-state model for reliability evaluation of renewable generation
description © 2016 IEEE. Reliability evaluation of power generation system is complicated with the integration of renewable sources, especially wind turbine and photovoltaics, whose generation characteristics are intermittent and time-varying. The concept of equivalent forced outage rate is conventionally utilized to simplify the computation burden. It is proposed to apply a multi-state model to express the variable generation of renewable sources. Number of de-rated states and corresponding de-rated capacities can be simplified by considering the plant factor. It is claimed that a number of certain capacity states may be neglected. Generation system reliability may be evaluated using two classical indices: loss of load probability and expected energy not supplied.
format Conference Proceeding
author Kunjana Chaiamarit
Somboon Nuchprayoon
author_facet Kunjana Chaiamarit
Somboon Nuchprayoon
author_sort Kunjana Chaiamarit
title An approximated multi-state model for reliability evaluation of renewable generation
title_short An approximated multi-state model for reliability evaluation of renewable generation
title_full An approximated multi-state model for reliability evaluation of renewable generation
title_fullStr An approximated multi-state model for reliability evaluation of renewable generation
title_full_unstemmed An approximated multi-state model for reliability evaluation of renewable generation
title_sort approximated multi-state model for reliability evaluation of renewable generation
publishDate 2018
url https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=84988373370&origin=inward
http://cmuir.cmu.ac.th/jspui/handle/6653943832/55679
_version_ 1681424550772867072