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dc.contributor.authorRahman Tito, MS
dc.contributor.authorLie, TT
dc.contributor.authorAnderson, T
dc.contributor.editorHasan, R
dc.date.accessioned2013-09-06T01:13:38Z
dc.date.available2013-09-06T01:13:38Z
dc.date.copyright2013-09-05
dc.date.issued2013-09-06
dc.identifier.citationENZCon 2013, 20th Electronics New Zealand Conference held at Massey University, Albany Campus, Auckland, New Zealand, 2013-09-05 to 2013-09-06, published in: Proceedings of the 20th Electronics New Zealand Conference, pp.8 - 12 (5)
dc.identifier.issn1177-6951
dc.identifier.urihttp://hdl.handle.net/10292/5650
dc.description.abstractThis paper presents a simple methodology to optimize the size of a hybrid wind generator (WG), photovoltaic (PV) module and battery storage system for a given demand. The method utilizes typical meteorological year (TMY) data to calculate hourly power output of a PV module and a WG throughout the year. By changing the combination of PV and WG, the generated energy is matched with the hourly average load of a year. This is done in such a way that the maximum of the total energy deficit in a cluster of hours in between hours of excess energy generations becomes minimum. The required number of batteries is calculated from that maximum of the total energy deficit among these clusters. The combination of WG, PV and battery that satisfies the desired loss of power supply probability (LPSP) and has the lowest total cost is considered as the optimum. A case study has been carried out to size a hybrid renewable energy system (HRES) optimally. The size obtained by this method is verified using an iterative algorithm and a genetic algorithm (GA). It is found that all of these methods give the same result for the same demand.
dc.publisherMassey Printery
dc.relation.urihttp://enzcon.org.nz/2013/program.html
dc.rightsNOTICE: this is the author’s version of a work that was accepted for publication. Changes resulting from the publishing process, such as peer review, editing, corrections, structural formatting, and other quality control mechanisms may not be reflected in this document. Changes may have been made to this work since it was submitted for publication. A definitive version was subsequently published in (see Citation). The original publication is available at (see Publisher's Version).
dc.subjectWind/PV hybrid renewable energy system (HRES)
dc.subjectIterative algorithm
dc.subjectPV module
dc.subjectOptimization
dc.subjectGenetic Algorithm (GA)
dc.titleA simple sizing optimization method for wind-photovoltaic-battery hybrid renewable energy systems
dc.typeConference Contribution
dc.rights.accessrightsOpenAccess
aut.conference.typePaper Published in Proceedings
aut.publication.placeAuckland, New Zealand
aut.relation.endpage12
aut.relation.pages5
aut.relation.startpage8
pubs.elements-id153631


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