Journal article
Improving voltage regulation and unbalance in distribution networks using Peer-to-Peer data sharing between Single-Phase PV Inverters
IEEE Transactions on Power Delivery, Vol.37(4), pp.2629-2639
2022
Abstract
This paper proposes a novel reactive power-based control strategy for single-phase PV inverters (PVIs) to simultaneously improve voltage unbalance (VU) and voltage regulation (VR) in low-voltage distribution networks. The proposed strategy relies on communication links between neighboring PVIs to exchange limited data. In this strategy, each PVI finds communication paths between itself and the closest neighboring ones connected to other phases. Then, using the obtained paths and the maximum and the minimum voltage magnitude of the grid, PVIs improve both VU and VR at the same time. The performance of the proposed control strategy is evaluated by various simulation studies using the IEEE European low-voltage test feeder and considering different operational conditions. In addition, the impacts of moving clouds and a failure in the communication links have been assessed. The simulation results exhibit that using the proposed control strategy, the voltage magnitude of all the nodes will remain within the allowed limits and at the same time, the phase voltage unbalance factor will be also significantly improved.
Details
- Title
- Improving voltage regulation and unbalance in distribution networks using Peer-to-Peer data sharing between Single-Phase PV Inverters
- Authors/Creators
- Y.Z. Gerdroodbari (Author/Creator) - Monash UniversityR. Razzaghi (Author/Creator) - Monash UniversityF. Shahnia (Author/Creator) - Murdoch University
- Publication Details
- IEEE Transactions on Power Delivery, Vol.37(4), pp.2629-2639
- Publisher
- IEEE
- Identifiers
- 991005543555607891
- Copyright
- © 2022 IEEE
- Murdoch Affiliation
- School of Information Technology
- Language
- English
- Resource Type
- Journal article
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- Domestic collaboration
- Citation topics
- 4 Electrical Engineering, Electronics & Computer Science
- 4.18 Power Systems & Electric Vehicles
- 4.18.204 Smart Grid Optimization
- Web Of Science research areas
- Engineering, Electrical & Electronic
- ESI research areas
- Engineering