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Short term reliability and cost of operation for an autonomous energy system

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dc.contributor.author Contaxis, GC en
dc.contributor.author Kabouris, J en
dc.date.accessioned 2014-03-01T02:40:55Z
dc.date.available 2014-03-01T02:40:55Z
dc.date.issued 1989 en
dc.identifier.uri https://dspace.lib.ntua.gr/xmlui/handle/123456789/30279
dc.subject Energy System en
dc.subject Stochastic Model en
dc.subject Wind Velocity en
dc.subject.other Electric Power Generation--Costs en
dc.subject.other Electric Power Systems--Loss of Load Probability en
dc.subject.other Wind Power en
dc.subject.other Autonomous Energy System en
dc.subject.other Diesel/Wind Power en
dc.subject.other Load Demand Model en
dc.subject.other Diesel Electric Power Plants en
dc.title Short term reliability and cost of operation for an autonomous energy system en
heal.type conferenceItem en
heal.identifier.primary 10.1109/MELCON.1989.49993 en
heal.identifier.secondary http://dx.doi.org/10.1109/MELCON.1989.49993 en
heal.publicationDate 1989 en
heal.abstract The authors describe an algorithm for determining the reliability and cost of operation of an autonomous energy system consisting of diesel units and wind generators over a period of T hours. The simulation period is divided into intervals of t minutes duration. Given the characteristics of the diesel and wind generators, the hourly loads, and the statistics of wind velocity, the algorithm finds the cost of operation and reliability of the system over each interval and the whole period T for each alternative committment schedule. The proposed algorithm is a module of an overall scheme used for comparing alternative committment schedules in order to find the optimal one, i.e., the one which provides the minimum cost under a given reliability. The random nature of wind velocity and load demand is taken into consideration by utilizing stochastic models for the diesel and wind generator operation. Results obtained by the application of the algorithm to an autonomous energy system for a medium-size Greek island are reported. en
heal.publisher Publ by IEEE, Piscataway, NJ, United States en
heal.journalName [No source information available] en
dc.identifier.doi 10.1109/MELCON.1989.49993 en
dc.identifier.spage 107 en
dc.identifier.epage 110 en


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