Wind turbine effect on the voltage profile of distribution networks

Boulaxis, NG; Papathanassiou, SA; Papadopoulos, MP

dc.contributor.author	Boulaxis, NG	en
dc.contributor.author	Papathanassiou, SA	en
dc.contributor.author	Papadopoulos, MP	en
dc.date.accessioned	2014-03-01T01:18:29Z
dc.date.available	2014-03-01T01:18:29Z
dc.date.issued	2002	en
dc.identifier.issn	0960-1481	en
dc.identifier.uri	https://dspace.lib.ntua.gr/xmlui/handle/123456789/15038
dc.subject	Distribution networks	en
dc.subject	Power quality	en
dc.subject	Slow voltage variations	en
dc.subject	Wind turbines	en
dc.subject.classification	Energy & Fuels	en
dc.subject.other	Electric potential	en
dc.subject.other	Electric power distribution	en
dc.subject.other	Probability distributions	en
dc.subject.other	Wind power	en
dc.subject.other	Power quality	en
dc.subject.other	Wind turbines	en
dc.subject.other	electricity generation	en
dc.subject.other	wind power	en
dc.subject.other	electricity generation	en
dc.subject.other	wind power	en
dc.title	Wind turbine effect on the voltage profile of distribution networks	en
heal.type	journalArticle	en
heal.identifier.primary	10.1016/S0960-1481(01)00061-1	en
heal.identifier.secondary	http://dx.doi.org/10.1016/S0960-1481(01)00061-1	en
heal.language	English	en
heal.publicationDate	2002	en
heal.abstract	The operation of wind turbine, in the distribution networks may affect the power quality offered to the consumers. One of the most important considerations is the effect on the voltage profile, i.e. the induced slow voltage variations, which are the subject of this paper. Two alternative approaches are presented for their evaluation. The first. adopted by many utility guides and recommendations, is deterministic, seeking to ensure that the voltage deviations always remain within certain limits. The other recognises the statistical nature of the voltage variations and conforms to latest European Norm, EN 50160. Rather than assessing the maximum deviations that can possibly appear, the probability distribution of the voltage is calculated and then the conformity to the standards is assessed. In applying the statistical method, either time series. or directly probability distributions can be used. As a study case, the methods are applied to an existing MV distribution feeder, where significant wind power is installed. Measurement data are provided for the same feeder. (C) 2001 Elsevier Science Ltd. All rights reserved.	en
heal.publisher	PERGAMON-ELSEVIER SCIENCE LTD	en
heal.journalName	Renewable Energy	en
dc.identifier.doi	10.1016/S0960-1481(01)00061-1	en
dc.identifier.isi	ISI:000171909100004	en
dc.identifier.volume	25	en
dc.identifier.issue	3	en
dc.identifier.spage	401	en
dc.identifier.epage	415	en