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Distribution System Voltage Performance Analysis for High-Penetration PV

Liu, Y., Bebic, J., Kroposki, B., de Bedout, J., Ren, W.·2008·2008 IEEE Energy 2030 Conference

Abstract

Distributed generation can have an impact on distribution feeder voltage regulation, and distributed solar photovoltaics (PV) are no exception. As the penetration level of solar PV rises over the coming decades, reverse power flow on the distribution feeder will happen more frequently and the associated voltage rise might lead to violations of voltage boundaries defined by ANSI C84.1. The severity of possible voltage problems depends on the relative size and location of distributed PV generation and loads, distribution feeder topology, and method of voltage regulation. In this paper, an illustrative distribution system feeder is assumed, and various case studies are conducted. The performance of the commonly used distribution voltage regulation methods under reverse power flow are investigated and presented. Voltage performance of the feeder, and the flow of active and reactive power are studied under different loading assumptions, and different assumptions of PV inverters' participation. The paper also explores the system performance using coordinated controls of inverters and utility equipment.

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Metadata

Authors
Liu, Y., Bebic, J., Kroposki, B., de Bedout, J., & Ren, W.
Venue
2008 IEEE Energy 2030 Conference
Publisher
IEEE
Published
2008-11
Pages
1-8
OpenAlex
W2540283616
Cited by
270
References
0
FWCI
5.70
Type
conference paper
Language
en
Open access
closed

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CoChat. (2026). Citation check: Distribution System Voltage Performance Analysis for High-Penetration PV. https://app.cochat.ai/papers/10.1109/energy.2008.4781069
The paper
Liu, Y., Bebic, J., Kroposki, B., de Bedout, J., & Ren, W. (2008). Distribution System Voltage Performance Analysis for High-Penetration PV. 2008 IEEE Energy 2030 Conference. https://doi.org/10.1109/energy.2008.4781069

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