| DOI | Resolve DOI: https://doi.org/10.1109/JSYST.2020.3001040 |
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| Author | Search for: Li, HanlinORCID identifier: https://orcid.org/0000-0001-9231-5955; Search for: Azzouz, Maher A.ORCID identifier: https://orcid.org/0000-0002-0957-8437; Search for: Hamad, Amr A.1ORCID identifier: https://orcid.org/0000-0002-8121-8073 |
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| Affiliation | - National Research Council of Canada. Measurement Science and Standards
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| Funder | Search for: Natural Sciences and Engineering Research Council of Canada |
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| Format | Text, Article |
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| Subject | consensus algorithms; distributed generators (DGs); electric vehicle charging stations (EVCSs); sensitivity analysis; voltage regulation; voltage control; reactive power; distribution networks; batteries; decentralized control; generators |
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| Abstract | The proliferation of distributed generators (DGs) and electric vehicle charging stations (EVCSs) has brought voltage regulation challenges to distribution networks. This article proposes a distributed control algorithm to dispatch surplus reactive power from EVCSs and DGs for proper voltage regulation without violating their converters' capacities or stressing conventional voltage control devices, such as on-load tap changers (OLTCs). Further, an active power curtailment strategy is proposed for DGs to properly integrate OLTCs in voltage regulation when the reactive power support is deficient. The proposed control algorithms rely on the average consensus theory and sensitivity analysis to provide optimized voltage support while satisfying the agents' self-objectives. Simulation results of a typical distribution network confirm the effectiveness of the proposed distributed control algorithms in maintaining proper voltage regulation with minimum voltage support from EVCSs and DGs, and reduced daily tap operation for OLTC. |
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| Publication date | 2021-06-25 |
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| Publisher | IEEE |
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| In | |
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| Language | English |
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| Peer reviewed | Yes |
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| Export citation | Export as RIS |
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| Report a correction | Report a correction (opens in a new tab) |
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| Record identifier | 4940e261-c87d-4582-b192-b0cbed5a6ec2 |
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| Record created | 2023-07-12 |
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| Record modified | 2023-07-12 |
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