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Article: Evaluating the Variability of Photovoltaics: A New Stochastic Method to Generate Site-Specific Synthetic Solar Data and Applications to System Studies

TitleEvaluating the Variability of Photovoltaics: A New Stochastic Method to Generate Site-Specific Synthetic Solar Data and Applications to System Studies
Authors
KeywordsSolar PV integration
Distributed PV generation
Stochastic solar resource analysis
Issue Date2019
PublisherPergamon. The Journal's web site is located at http://www.elsevier.com/locate/renene
Citation
Renewable Energy, 2019, v. 133, p. 1099-1107 How to Cite?
AbstractThe power output of solar photovoltaics (PV) may have sharp fluctuations and its impact has to be carefully evaluated before integrating significant PV facilities into the power grid. Variability of solar resources is best measured by ground-based measurements. However, distributed ground-measured solar data is not available everywhere, and it would take considerable cost and time to obtain such data. Therefore, it is important and beneficial to model and estimate the variability of distributed PV generation even with insufficient solar data at each location. This study proposes a new methodology to generate spatially-distributed synthetic PV data based on detailed ground measurements collected at a few sites. The synthetic PV data is examined with specific criteria and the feasibility for simulating spatially-distributed PV generation is verified. A case study for Hong Kong is conducted using both the real and synthetic solar data. It is demonstrated that individual PV facilities can have significant fluctuations on a minute-by-minute basis, but the fluctuations can be significantly reduced if PV facilities are more spatially-distributed. The improvement to the estimation of solar variability with the proposed method is illustrated and the significance of its applications is discussed.
Persistent Identifierhttp://hdl.handle.net/10722/271221
ISSN
2017 Impact Factor: 4.9
2015 SCImago Journal Rankings: 1.961

 

DC FieldValueLanguage
dc.contributor.authorTANG, Y-
dc.contributor.authorCheng, JWM-
dc.contributor.authorDUAN, Q-
dc.contributor.authorLee, CW-
dc.contributor.authorZhong, J-
dc.date.accessioned2019-06-24T01:05:42Z-
dc.date.available2019-06-24T01:05:42Z-
dc.date.issued2019-
dc.identifier.citationRenewable Energy, 2019, v. 133, p. 1099-1107-
dc.identifier.issn0960-1481-
dc.identifier.urihttp://hdl.handle.net/10722/271221-
dc.description.abstractThe power output of solar photovoltaics (PV) may have sharp fluctuations and its impact has to be carefully evaluated before integrating significant PV facilities into the power grid. Variability of solar resources is best measured by ground-based measurements. However, distributed ground-measured solar data is not available everywhere, and it would take considerable cost and time to obtain such data. Therefore, it is important and beneficial to model and estimate the variability of distributed PV generation even with insufficient solar data at each location. This study proposes a new methodology to generate spatially-distributed synthetic PV data based on detailed ground measurements collected at a few sites. The synthetic PV data is examined with specific criteria and the feasibility for simulating spatially-distributed PV generation is verified. A case study for Hong Kong is conducted using both the real and synthetic solar data. It is demonstrated that individual PV facilities can have significant fluctuations on a minute-by-minute basis, but the fluctuations can be significantly reduced if PV facilities are more spatially-distributed. The improvement to the estimation of solar variability with the proposed method is illustrated and the significance of its applications is discussed.-
dc.languageeng-
dc.publisherPergamon. The Journal's web site is located at http://www.elsevier.com/locate/renene-
dc.relation.ispartofRenewable Energy-
dc.subjectSolar PV integration-
dc.subjectDistributed PV generation-
dc.subjectStochastic solar resource analysis-
dc.titleEvaluating the Variability of Photovoltaics: A New Stochastic Method to Generate Site-Specific Synthetic Solar Data and Applications to System Studies-
dc.typeArticle-
dc.identifier.emailZhong, J: jinzhong@hkucc.hku.hk-
dc.identifier.authorityZhong, J=rp00212-
dc.identifier.doi10.1016/j.renene.2018.10.102-
dc.identifier.scopuseid_2-s2.0-85057143068-
dc.identifier.hkuros298109-
dc.identifier.volume133-
dc.identifier.spage1099-
dc.identifier.epage1107-
dc.publisher.placeUnited Kingdom-

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