Remote and Centralized Monitoring of PV Power Plants

Csaba Kopacz, Sergiu Spataru, Dezso Sera, Tamas Kerekes

Research output: Contribution to book/anthology/report/conference proceedingArticle in proceedingResearchpeer-review

13 Citations (Scopus)
1018 Downloads (Pure)

Abstract

This paper presents the concept and operating principles of a low-cost and flexible monitoring system for PV plants. Compared to classical solutions which can require dedicated hardware and/or specialized data logging systems, the monitoring system we propose allows parallel monitoring of PV plants with different architectures and locations by taking advantage of the intrinsic monitoring capabilities of the inverters and their internet connectivity. The backbone of the system is a software system capable of collecting production measurements and current-voltage (I-V) characteristic curve measurements from the inverters within each PV plant. The monitoring software stores the PV measurements in a data warehouse optimized for managing and data mining large amounts of data, from where it can be later visualized, analyzed and exported. By combining PV production measurements data with I-V curve measurements the diagnostic and condition monitoring capabilities of the PV system can be greatly enhanced. The practical implementation and operation of the monitoring system is demonstrated with a study case system deployed at Aalborg University.
Original languageEnglish
Title of host publicationProceedings of the 14th International Conference on Optimization of Electrical and Electronic Equipment, OPTIM 2014
Number of pages8
PublisherIEEE Press
Publication dateMay 2014
Pages721-728
ISBN (Print)978-1-4799-5183-3
DOIs
Publication statusPublished - May 2014
Event14th International Conference on Optimization of Electrical and Electronic Equipment - Brasov, Romania
Duration: 22 May 201424 May 2014

Conference

Conference14th International Conference on Optimization of Electrical and Electronic Equipment
Country/TerritoryRomania
CityBrasov
Period22/05/201424/05/2014
SeriesOptimization of Electrical and Electronic Equipment (OPTIM), Proceedings
ISSN1842-0133

Keywords

  • Photovoltaic power system
  • Monitoring
  • Data acquisition
  • Data Warehouses
  • Remote

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