Estimating PV Curtailed Power as a Voltage Support Service using Data-Driven Approaches

Gijs Verhoeven, Pedro P. Vergara , Edgar Mauricio Salazar Duque, Koen Kok

Research output: Chapter in Book/Conference proceedings/Edited volumeConference contributionScientificpeer-review

15 Downloads (Pure)

Abstract

To guarantee a successful deployment of a droop-based control strategy to mitigate overvoltage problems caused by solar photovoltaic (PV) generation, Distribution System Operators (DSOs) will need to estimate the amount of active power curtailed by the PV inverters for billing purposes. This paper provides a structural elaboration on the development of data-driven approaches in Python to estimate the PV curtailed power as a provision of voltage support services by residential users using droop-based voltage control strategies. The use of the total input data, available for a DSO, would be impractical for an all-regression approach for the estimation of the PV curtailed power. Since in the majority of the data no active power is curtailed, the data-driven models would in this case partly be trained and fitted for situations where there is no active power curtailment. The regression models for the curtailed power prediction are therefore preceded by a classification model. The developed combined classification-regression model was able to estimate the PV curtailed power with an error of less than 4%, for test data from the network on which the model was trained.
Original languageEnglish
Title of host publicationProceedings of the 2022 International Conference on Smart Energy Systems and Technologies (SEST)
PublisherIEEE
Pages1-6
Number of pages6
ISBN (Electronic)978-1-6654-0557-7
ISBN (Print)978-1-6654-0558-4
DOIs
Publication statusPublished - 2022
Event2022 International Conference on Smart Energy Systems and Technologies (SEST) - Eindhoven, Netherlands
Duration: 5 Sept 20227 Sept 2022

Publication series

NameSEST 2022 - 5th International Conference on Smart Energy Systems and Technologies

Conference

Conference2022 International Conference on Smart Energy Systems and Technologies (SEST)
Country/TerritoryNetherlands
City Eindhoven
Period5/09/227/09/22

Bibliographical note

Green Open Access added to TU Delft Institutional Repository 'You share, we take care!' - Taverne project https://www.openaccess.nl/en/you-share-we-take-care
Otherwise as indicated in the copyright section: the publisher is the copyright holder of this work and the author uses the Dutch legislation to make this work public.

Keywords

  • Low voltage distribution systems
  • overvoltage
  • droop control
  • PV curtailment
  • machine learning

Fingerprint

Dive into the research topics of 'Estimating PV Curtailed Power as a Voltage Support Service using Data-Driven Approaches'. Together they form a unique fingerprint.

Cite this