| Description |
1 online resource (10 pages) : color illustrations. |
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text txt rdacontent |
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computer c rdamedia |
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online resource cr rdacarrier |
| Series |
NREL/CP ; 5D00-80428 |
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Conference paper (National Renewable Energy Laboratory (U.S.)) ; 5D00-80428.
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| Note |
"January 2022." |
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"Presented at the Hawai’i International Conference on System Sciences January 3–7, 2022"--Cover. |
| Bibliography |
Includes bibliographical references. |
| Funding |
DE-AC36-08GO28308 |
| Note |
Description based on online resource; title from PDF title page (NREL, viewed Dec. 19, 2022). |
| Summary |
This paper addresses the design of local control methods for voltage control in distribution networks with high level of distributed energy resources (DERs). The designed control methods adapt the active and reactive power output of distributed energy resources proportional to the deviation of the local measured voltage magnitudes from a reference voltage, which is referred to as droop control. Thus, the design focuses on determining the droop characteristics which satisfy network-wide voltage magnitude constraints. The uncertainty and variability of DERs renders the design of optimal droop controls very challenging. Hence, this paper proposes chance constraints to limit the risk from intermittent DERs, by designing droop control coefficients that guarantee the satisfaction of network operational constraints with a specific probability. In addition, the proposed approach relies entirely on historical data rather than assuming knowledge of the probability distributions that characterize the uncertainty of DERs. The efficacy of the proposed method is demonstrated on a 37-bus distribution feeder. |
| Subject |
Electric power systems -- Control.
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Electric power systems -- Computer simulation.
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Distributed generation of electric power -- United States -- Computer simulation.
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Réseaux électriques (Énergie) -- Régulation.
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Réseaux électriques (Énergie) -- Simulation par ordinateur.
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Électricité -- Production -- Génération répartie -- États-Unis -- Simulation par ordinateur.
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Electric power systems -- Computer simulation
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Electric power systems -- Control
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United States https://id.oclc.org/worldcat/entity/E39PBJtxgQXMWqmjMjjwXRHgrq
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| Indexed Term |
chance-constrained optimization |
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droop control |
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voltage control |
| Added Author |
Zamzam, Ahmed S., author.
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Bernstein, Andrey, author.
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National Renewable Energy Laboratory (U.S.), issuing body.
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| Standard No. |
1840704 OSTI ID |
| Gpo Item No. |
0430-P-04 (online) |
| Sudoc No. |
E 9.17:NREL/CP-5D00-80428 |
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