Regression-based inverter control for decentralized optimal power flow and voltage regulation

Oscar Sondermeijer, R. Dobbe, Daniel Arnold, C. Tomlin, Tamas Keviczky

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

Abstract

Electronic power inverters are capable of quickly delivering reactive power to maintain customer voltages within operating tolerances and to reduce system losses in distribution grids. This paper proposes a systematic and data-driven approach to determine reactive power inverter output as a function of local measurements in a manner that obtains near optimal results. First, we use a network model and historic load and generation data and do optimal power flow to compute globally optimal reactive power injections for all controllable inverters in the network. Subsequently, we use regression to find a function for each inverter that maps its local historical data to an approximation of its optimal reactive power injection.
The resulting functions then serve as decentralized controllers in the participating inverters to predict the optimal injection based on a new local measurements. The method achieves near-optimal results when performing voltage- and capacityconstrained loss minimization and voltage flattening, and allows for an efficient volt-VAR optimization (VVO) scheme in which legacy control equipment collaborates with existing inverters to facilitate safe operation of distribution networks with higher levels of distributed generation.
Original languageEnglish
Title of host publicationProceedings of the IEEE Power and Energy Society General Meeting (PESGM 2016)
Subtitle of host publicationPaving the Way for Grid Modernization
Place of PublicationPiscataway, NJ, USA
PublisherIEEE
Number of pages5
ISBN (Print)978-1-5090-4168-8
Publication statusPublished - 2016
EventIEEE Power and Energy Society General Meeting, PESGM 2016: Paving the Way for Grid Modernization - Boston, United States
Duration: 17 Jul 201621 Jul 2016

Conference

ConferenceIEEE Power and Energy Society General Meeting, PESGM 2016
Abbreviated titleIEEE PESGM P
Country/TerritoryUnited States
CityBoston
Period17/07/1621/07/16

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