File Download
  Links for fulltext
     (May Require Subscription)
Supplementary

Conference Paper: Probabilistic optimal sizing of stand-alone PV systems with modeling of variable solar radiation and load demand

TitleProbabilistic optimal sizing of stand-alone PV systems with modeling of variable solar radiation and load demand
Authors
KeywordsExpected-energy-not-supplied (EENS)
Load signatures
Particle swarm optimization (PSO)
Sizing optimization
Stand-alone PV system
Issue Date2012
PublisherIEEE. The Journal's web site is located at http://ieeexplore.ieee.org/xpl/conhome.jsp?punumber=1000581
Citation
The 2012 IEEE Power and Energy Society General Meeting, San Diego, CA., 22-26 July 2012. In IEEE Power and Energy Society General Meeting Proceedings, 2012, p. 1-7 How to Cite?
AbstractThis paper presents a comprehensive sizing methodology which could contain all key elements necessary to obtain a practical sizing result for a stand-alone photovoltaic (PV) system. First, a stochastic solar radiation model based on limited/incomplete local weather data is formulated to synthesis various chronological solar radiation patterns. This enables us to evaluate a long-term system performance and characterize any extreme weather conditions. Second, a stochastic load simulator is developed to simulate realistic load patterns. Third, two reliability indices, Expected-Energy-Not-Supplied (EENS) and Expected-Excessive-Energy-Supplied (EEES), are incorporated with an Annualized Cost of System (ACS) to form a new objective function called an Annualized Reliability and Cost of System (ARCS) for optimization. We then apply a particle swarm optimization (PSO) algorithm to obtain the optimum system configuration for a given acceptable risk level. An actual case study is conducted to demonstrate the feasibility and applicability of the proposed methodology. © 2012 IEEE.
DescriptionPSPI Committee Main/Planning for Integration of Renewable Resources, DGs, and EVs into the Electric Grid (combo): presentation no. 2012GM0675
Persistent Identifierhttp://hdl.handle.net/10722/153086
ISBN

 

DC FieldValueLanguage
dc.contributor.authorNg, SKKen_US
dc.contributor.authorZhong, Jen_US
dc.contributor.authorCheng, WMen_US
dc.date.accessioned2012-07-16T09:55:47Z-
dc.date.available2012-07-16T09:55:47Z-
dc.date.issued2012en_US
dc.identifier.citationThe 2012 IEEE Power and Energy Society General Meeting, San Diego, CA., 22-26 July 2012. In IEEE Power and Energy Society General Meeting Proceedings, 2012, p. 1-7en_US
dc.identifier.isbn978-1-4673-2729-9-
dc.identifier.urihttp://hdl.handle.net/10722/153086-
dc.descriptionPSPI Committee Main/Planning for Integration of Renewable Resources, DGs, and EVs into the Electric Grid (combo): presentation no. 2012GM0675-
dc.description.abstractThis paper presents a comprehensive sizing methodology which could contain all key elements necessary to obtain a practical sizing result for a stand-alone photovoltaic (PV) system. First, a stochastic solar radiation model based on limited/incomplete local weather data is formulated to synthesis various chronological solar radiation patterns. This enables us to evaluate a long-term system performance and characterize any extreme weather conditions. Second, a stochastic load simulator is developed to simulate realistic load patterns. Third, two reliability indices, Expected-Energy-Not-Supplied (EENS) and Expected-Excessive-Energy-Supplied (EEES), are incorporated with an Annualized Cost of System (ACS) to form a new objective function called an Annualized Reliability and Cost of System (ARCS) for optimization. We then apply a particle swarm optimization (PSO) algorithm to obtain the optimum system configuration for a given acceptable risk level. An actual case study is conducted to demonstrate the feasibility and applicability of the proposed methodology. © 2012 IEEE.-
dc.languageengen_US
dc.publisherIEEE. The Journal's web site is located at http://ieeexplore.ieee.org/xpl/conhome.jsp?punumber=1000581-
dc.relation.ispartofIEEE Power and Energy Society General Meeting Proceedingsen_US
dc.rightsIEEE Power and Energy Society General Meeting Proceedings. Copyright © IEEE.-
dc.rights©2012 IEEE. Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE.-
dc.rightsCreative Commons: Attribution 3.0 Hong Kong License-
dc.subjectExpected-energy-not-supplied (EENS)-
dc.subjectLoad signatures-
dc.subjectParticle swarm optimization (PSO)-
dc.subjectSizing optimization-
dc.subjectStand-alone PV system-
dc.titleProbabilistic optimal sizing of stand-alone PV systems with modeling of variable solar radiation and load demanden_US
dc.typeConference_Paperen_US
dc.identifier.emailNg, SKK: h0202798@HKUSUC.hku.hken_US
dc.identifier.emailZhong, J: jinzhong@hkucc.hku.hk-
dc.identifier.emailCheng, WM: john.cheng@clp.com.hk-
dc.identifier.authorityZhong, J=rp00212en_US
dc.description.naturepublished_or_final_version-
dc.identifier.doi10.1109/PESGM.2012.6344878-
dc.identifier.scopuseid_2-s2.0-84870579316-
dc.identifier.hkuros201947en_US
dc.identifier.spage1-
dc.identifier.epage7-
dc.publisher.placeUnited States-
dc.description.otherThe 2012 IEEE Power and Energy Society General Meeting, San Diego, CA., 22-26 July 2012. In IEEE Power and Energy Society General Meeting Proceedings, 2012, p. 1-7-

Export via OAI-PMH Interface in XML Formats


OR


Export to Other Non-XML Formats