The DOI matches its Crossref record; 12 of the 12 references it cites were found in a registry or an index.
Assessment of Energy Distribution Losses for Increasing Penetration of Distributed Generation
Abstract
High levels of penetration of distributed generation (DG) are a new challenge for traditional electric power systems. Power injections from DGs change network power flows modifying energy losses. Although it is considered that DG reduce losses, this paper shows that this is not always true. This paper presents an approach to compute annual energy losses variations when different penetration and concentration levels of DG are connected to a distribution network. In addition, the impact on losses of different DG technologies, such as combined heat and power, wind power, photovoltaic, and fuel-cells, is analyzed. Results show that energy losses variation, as a function of the DG penetration level, presents a characteristic U-shape trajectory. Moreover, when DG units are more dispersed along network feeders, higher losses reduction can be expected. Regarding DG technologies, it should be noted that wind power is the one that shows the worst behavior in losses reduction. Finally, DG units with reactive power control provide a better network voltage profile and lower losses.
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Cites
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Radial distribution test feeders
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Barker, P. P., & De Mello, R. W. (2002) · 2000 Power Engineering Society Summer Meeting (Cat. No.00CH37134) · doi:10.1109/pess.2000.868775 · Cited by 1,208
Radial distribution test feeders
Kersting, W. H. (2002) · 2001 IEEE Power Engineering Society Winter Meeting. Conference Proceedings (Cat. No.01CH37194) · doi:10.1109/pesw.2001.916993 · Cited by 1,051
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Distributed Power Generation Planning And Evaluation
Willis, H. L., & Scott, W. G. (2000) · Medical Entomology and Zoology · Cited by 489
Maximising penetration of wind generation in existing distribution networks
Liew, S. N., & Strbac, G. (2002) · IEE Proceedings - Generation, Transmission and Distribution · doi:10.1049/ip-gtd:20020218 · Cited by 277
Embedded Generation (Power & Energy Ser. 31)
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A modified Newton method for radial distribution system power flow analysis
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Cited by
Keane, A., Ochoa, L. F., Borges, C. L. T., Ault, G. W., Alarcon-Rodriguez, A. D., Currie, R. A. F., Pilo, F., Dent, C., & Harrison, G. P. (2013) · IEEE Transactions on Power Systems · doi:10.1109/tpwrs.2012.2214406 · Cited by 429
Koirala, A., Van Acker, T., D’hulst, R., & Van Hertem, D. (2022) · Renewable and Sustainable Energy Reviews · doi:10.1016/j.rser.2021.111899 · Cited by 118
Postigo Marcos, F., Mateo Domingo, C., Gómez San Román, T., Palmintier, B., Hodge, B.-M., Krishnan, V., De Cuadra García, F., & Mather, B. (2017) · Energies · doi:10.3390/en10111896 · Cited by 106
Monte Carlo-based assessment of PV impacts on real UK low voltage networks
Navarro, A., Ochoa, L. F., & Randles, D. (2013) · 2013 IEEE Power & Energy Society General Meeting · doi:10.1109/pesmg.2013.6672620 · Cited by 93
Cohen, M. A., & Callaway, D. S. (2016) · Solar Energy · doi:10.1016/j.solener.2016.01.002 · Cited by 87
Metadata
- Authors
- MendezQuezada, V. H., RivierAbbad, J., & GomezSanRoman, T.
- Venue
- IEEE Transactions on Power Systems
- Published
- 2006-05
- Volume
- 21
- Issue
- 2
- Pages
- 533-540
- ISSN
- 0885-8950 (ISSN-L)
- OpenAlex
- W2157755945
- Cited by
- 616
- References
- 12
- FWCI
- 21.93
- Type
- journal article
- Language
- en
- Open access
- closed
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- MendezQuezada, V. H., RivierAbbad, J., & GomezSanRoman, T. (2006). Assessment of Energy Distribution Losses for Increasing Penetration of Distributed Generation. IEEE Transactions on Power Systems. https://doi.org/10.1109/tpwrs.2006.873115
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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
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