Research on Power Equipment Rainstorm Warning Combined with Weather Forecast Data Interpolation and Regional Assessment

dc.contributor.affiliationGuangzhou Power Supply Co. Ltd.
dc.contributor.affiliationGuangzhou Power Supply Co. Ltd.
dc.contributor.affiliationGuangzhou Power Supply Co. Ltd.
dc.contributor.affiliationGuangzhou Power Supply Co. Ltd.
dc.contributor.affiliationGuangzhou Power Supply Co. Ltd.
dc.contributor.affiliationGuangzhou Power Supply Co. Ltd.
dc.contributor.authorCUI, YIPING
dc.contributor.authorLUAN, LE
dc.contributor.authorLIU, YUQUAN
dc.contributor.authorMO, WENXIONG
dc.contributor.authorLi, Xin
dc.contributor.authorWANG, HONGBIN
dc.contributor.countryChina
dc.contributor.countryChina
dc.contributor.countryChina
dc.contributor.countryChina
dc.contributor.countryChina
dc.contributor.countryChina
dc.contributor.detailedauthorCUI, YIPING, Guangzhou Power Supply Co. Ltd., China
dc.contributor.detailedauthorLUAN, LE, Guangzhou Power Supply Co. Ltd., China
dc.contributor.detailedauthorLIU, YUQUAN, Guangzhou Power Supply Co. Ltd., China
dc.contributor.detailedauthorMO, WENXIONG, Guangzhou Power Supply Co. Ltd., China
dc.contributor.detailedauthorLi, Xin, Guangzhou Power Supply Co. Ltd., China
dc.contributor.detailedauthorWANG, HONGBIN, Guangzhou Power Supply Co. Ltd., China
dc.date.accessioned2019-07-24T12:37:54Z
dc.date.available2019-07-24T12:37:54Z
dc.date.conferencedate3-6 June 2019
dc.date.issued2019-06-03
dc.description.abstractThis paper analyzes the early warning of urban power grid equipment under heavy rain, especially for the prediction and early warning of power equipment safety hazards caused by short-term large-scale rainfall. The historical data is used to analyze the specific impact form of heavy rain on power equipment. The algorithm of rainfall data interpolation based on inverse distance weighting method is proposed. The granularity of meteorological data is refined from 5km×5km to 500m×500m. Through the dynamic adjustment of the power parameters, the interpolation data of the black point rainfall in the city is optimized, and the monitoring and statistics of the meteorological forecast data of specific power equipment or station are realized. At the same time, combined with the meteorological warning of the meteorological department, the prediction and early warning of the flooding risk of power equipment is realized. As an example, this paper uses the weather data of a certain city in southern China to carry out calculations. The result shows that the comprehensive optimization results can not only effectively improve the accuracy of the rainstorm warning of specific power equipment, but also avoid the data error caused by the traditional inverse distance weighting algorithm, and effectively improve the practical application value.
dc.description.conferencelocationMadrid, Spain
dc.description.conferencenameCIRED 2019
dc.description.openaccessYes
dc.description.peerreviewedYes
dc.description.sessionOperation, control and protection
dc.description.sessionidSession 3
dc.identifier.isbn978-2-9602415-0-1
dc.identifier.issn2032-9644
dc.identifier.urihttps://cired-repository.org/handle/20.500.12455/189
dc.identifier.urihttp://dx.doi.org/10.34890/369
dc.language.isoen
dc.publisherAIM
dc.relation.ispartProc. of the 25th International Conference on Electricity Distribution (CIRED 2019)
dc.relation.ispartofseriesCIRED Conference Proceedings
dc.titleResearch on Power Equipment Rainstorm Warning Combined with Weather Forecast Data Interpolation and Regional Assessment
dc.title.number896
dc.typeConference Proceedings
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