Özet
Aggregated management of distributed energy resources (DERs) is an emerging topic mainly with simulation based investigation of the developed approaches. On the other hand, field tests can provide important insights on the path to wide deployment. Most of the works take into account aggregated DERs as a single entity and do not get into details about how to allocate a desired management target among them. This study focuses on management of different types of DERs as a group to reach aggregation targets through two field-testing scenarios. Active power management scenario investigates management of a DER group for an hour long period by allocating an overall target proportional to DERs energy storage capacities. Varying PV panel, wind turbine and residential consumer power profiles were also included in the testing scenario as a challenge to determine set points for manageable devices. Reactive power management case equally distributes aggregation targets among available DERs, comparing relative management performances in 4 consecutive periods. Management performances of individual DERs and the whole group were evaluated, highlighting management accuracy and possible challenges in the field.
Orijinal dil | İngilizce |
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Ana bilgisayar yayını başlığı | IET Conference Publications |
Yayınlayan | Institution of Engineering and Technology |
Baskı | CP759 |
ISBN (Basılı) | 9781785617911, 9781839531330 |
DOI'lar | |
Yayın durumu | Yayınlandı - 2018 |
Etkinlik | Mediterranean Conference on Power Generation, Transmission, Distribution and Energy Conversion, MEDPOWER 2018 - Dubrovnik, Croatia Süre: 12 Kas 2018 → 15 Kas 2018 |
Yayın serisi
Adı | IET Conference Publications |
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Sayı | CP759 |
Hacim | 2018 |
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???event.eventtypes.event.conference??? | Mediterranean Conference on Power Generation, Transmission, Distribution and Energy Conversion, MEDPOWER 2018 |
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Ülke/Bölge | Croatia |
Şehir | Dubrovnik |
Periyot | 12/11/18 → 15/11/18 |
Bibliyografik not
Publisher Copyright:© 2018 Institution of Engineering and Technology. All rights reserved.
Finansman
This research has been performed using the ERIGrid Research Infrastructure and is part of a project that has received funding from the European Union’s Horizon 2020 Research and Innovation Programme under the Grant Agreement No. 654113. The support of the European Research Infrastructure ERIGrid and its partner RSE S.p.A. is very much appreciated. This research has been performed using the ERIGrid Research Infrastructure and is part of a project that has received funding from the European Union's Horizon 2020 Research and Innovation Programme under the Grant Agreement No. 654113. The support of the European Research Infrastructure ERIGrid and its partner RSE S.p.A. is very much appreciated.
Finansörler | Finansör numarası |
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Horizon 2020 Framework Programme | 654113 |
Horizon 2020 |