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Cited by 438

The DOI matches its Crossref record; 8 of the 8 references it cites were found in a registry or an index.

Control of Distributed Generation Systems— Part II: Load Sharing Control

Marwali, M.N., Jung, J.-W., Keyhani, A.·2004·IEEE Transactions on Power Electronics

Abstract

This work is concerned with the control strategy for the parallel operation of distributed generation systems (DGS) in a standalone ac power supply. The proposed control method uses only low-bandwidth data communication signals between each generation system in addition to the locally measurable feedback signals. This is achieved by combining two control methods: droop control method and average power control method. The average power method with slow update rate is used in order to overcome the sensitivity about voltage and current measurement errors. In addition, a harmonic droop scheme for sharing harmonic content of the load currents is proposed based on the voltages and currents control algorithm. Experimental and simulation studies using two parallel three-phase pulsewidth modulation (PWM) inverters are presented to show the effectiveness of the proposed control.

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Metadata

Authors
Marwali, M. N., Jung, J.-W., & Keyhani, A.
Venue
IEEE Transactions on Power Electronics
Published
2004-11
Volume
19
Issue
6
Pages
1551-1561
ISSN
0885-8993 (ISSN-L)
OpenAlex
W2108922822
Cited by
438
References
8
FWCI
19.98
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Control of Distributed Generation Systems— Part II: Load Sharing Control. https://app.cochat.ai/papers/10.1109/tpel.2004.836634
The paper
Marwali, M. N., Jung, J.-W., & Keyhani, A. (2004). Control of Distributed Generation Systems— Part II: Load Sharing Control. IEEE Transactions on Power Electronics. https://doi.org/10.1109/tpel.2004.836634

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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.