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dc.contributor.authorArya, L D
dc.contributor.authorSakravdia, D K
dc.contributor.authorKothari, D P
dc.date.accessioned2006-02-20T04:52:08Z
dc.date.accessioned2019-02-10T12:55:43Z
dc.date.accessioned2019-02-11T06:21:44Z
dc.date.available2006-02-20T04:52:08Z
dc.date.available2019-02-10T12:55:43Z
dc.date.available2019-02-11T06:21:44Z
dc.date.issued2004
dc.identifier.citationInternational Journal of Electrical Power & Energy Systems, 26(7), 473-477en
dc.identifier.urihttp://localhost:8080/iit/handle/2074/1318
dc.description.abstractThis paper presents an application of artificial neural network for determination of ready reserve power required under generator outage and increased load conditions in a power system. Gas turbines or hydro plants are used as rapid reserve units. A single-layer ANN known as functional link network has been utilized for RR power determination. Training and test instances have been generated using a stochastic deterministic technique [IEEE Trans. Power Syst. 13 (1998) 649]. RRs have been obtained for a standard IEEE test system and compared with those obtained by other existing methods.en
dc.format.extent248148 bytes
dc.format.mimetypeapplication/pdf
dc.language.isoenen
dc.subjectOperating reserveen
dc.subjectReady reserveen
dc.subjectSpinning reserveen
dc.subjectProbabilistic modelsen
dc.subjectArtificial neural networken
dc.titleReady reserve power determination using artificial neural networken
dc.typeArticleen


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