NDLI: Resource-efficient Model-Predictive PV control data communication

Content Provider	IEEE Xplore Digital Library
Author	Piontek, K.R. Dorsch, N. Wietfeld, C.
Copyright Year	2014
Description	Author affiliation: Commun. Networks Inst., Tech. Univ. Dortmund, Dortmund, Germany (Piontek, K.R.; Dorsch, N.; Wietfeld, C.)
Abstract	For the control of decentralized energy resources (DERs), Virtual Power Plants (VPPs) have been introduced to match the volatile production with the demand of energy consumers. However, due to their fluctuating feed-in, renewable energy sources such as photovoltaic (PV) systems need to be closely monitored and controlled, which in turn results in considerable communication effort. Aiming at reducing the periodic, costly wide-area communication of monitoring data between the PVs and the VPP, we introduce and validate in this paper our approach of Model Predictive PV Control Communication (MPCC). Leveraging a dedicated Efficient PV Production (EPVP) model which synchronously estimates the PV production on both ends of the wide-area communication path, i.e. the DERs and the VPP, the amount of transmitted monitoring data can be reduced considerably (up to 100% depending on weather conditions and acceptable prediction error). The introduced EPVP model is validated with real-life data of various PV systems. Finally, the proper parametrization and efficiency of the proposed MPCC has been analysed for various weather conditions.
Starting Page	715
Ending Page	720
File Size	1356627
Page Count	6
File Format	PDF
ISBN	9781479913008
DOI	10.1109/ISGT-Asia.2014.6873880
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2014-05-20
Publisher Place	Malaysia
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Radiation effects Photovoltaic System Clouds Manufacturing Messaging Specification (MMS) Model prediction Resource-efficient Communication IEC standards Asia Virtual Power Plant Production Data models Monitoring IEC 61850 Smart Grid
Content Type	Text
Resource Type	Article

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1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
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4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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