Using OLTC-Fitted Distribution Transformer to Increase Residential PV Hosting Capacity: Decentralized Voltage Management Approach

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dc.authoridAYDIN, Muhammed sait/0000-0003-4922-2846
dc.authoridAlthaher, Sereen/0000-0001-9459-2390
dc.authoridAlnaser, Sahban/0000-0002-3501-0351
dc.contributor.authorAydin, Muhammed Sait
dc.contributor.authorAlnaser, Sahban W.
dc.contributor.authorAlthaher, Sereen Z.
dc.date.accessioned2024-12-24T19:33:34Z
dc.date.available2024-12-24T19:33:34Z
dc.date.issued2022
dc.departmentSiirt Üniversitesi
dc.description.abstractThe increasing Photovoltaic (PV) penetration in residential Low Voltage (LV) networks is likely to result in a voltage rise problem. One of the potential solutions to deal with this problem is to adopt a distribution transformer fitted with an On-Load Tap Changer (OLTC). The control of the OLTC in response to local measurements reduces the need for expensive communication channels and remote measuring devices. However, this requires developing an advanced decision-making algorithm to estimate the existence of voltage issues and define the best set point of the OLTC. This paper presents a decentralized data-driven control approach to operate the OLTC using local measurements at a distribution transformer (i.e., active power and voltage at the secondary side of the transformer). To do so, Monte Carlo simulations are utilized offline to produce a comprehensive dataset of power flows throughout the distribution transformer and customers' voltages for different PV penetrations. By the application of the curve-fitting technique to the resulting dataset, models to estimate the maximum and the minimum customers' voltages are defined and embedded into the control logic to manage the OLTC in real time. The application of the approach to a real UK LV feeder shows its effectiveness in improving PV hosting capacity without the need for remote monitoring elements.
dc.identifier.doi10.3390/en15134836
dc.identifier.issn1996-1073
dc.identifier.issue13
dc.identifier.scopus2-s2.0-85133581034
dc.identifier.scopusqualityQ1
dc.identifier.urihttps://doi.org/10.3390/en15134836
dc.identifier.urihttps://hdl.handle.net/20.500.12604/8203
dc.identifier.volume15
dc.identifier.wosWOS:000824334200001
dc.identifier.wosqualityQ3
dc.indekslendigikaynakWeb of Science
dc.indekslendigikaynakScopus
dc.language.isoen
dc.publisherMdpi
dc.relation.ispartofEnergies
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanı
dc.rightsinfo:eu-repo/semantics/openAccess
dc.snmzKA_20241222
dc.subjecthosting capacity
dc.subjectlow voltage distribution networks
dc.subjectMonte Carlo simulations
dc.subjecton-load tap changer
dc.subjectphotovoltaic systems
dc.subjectregression
dc.subjectvoltage control
dc.titleUsing OLTC-Fitted Distribution Transformer to Increase Residential PV Hosting Capacity: Decentralized Voltage Management Approach
dc.typeArticle

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