The DOI matches its Crossref record; 8 of the 8 references it cites were found in a registry or an index.
An open source platform for collaborating on smart grid research
Abstract
An open-source distribution system simulator has been developed for distributed resource planning, harmonic studies, neutral-earth voltage studies, volt-var control studies, and other special applications. The software includes several means of interfacing user code, including compiled dynamic link library, COM automation, and text scripting. Co-simulation interfaces are under development for interfacing with proprietary vendor-supplied models, and communication system overlays. The simulator, called OpenDSS, has been used to conduct several smart grid research projects, including advanced automation, electric vehicle penetration, state estimation, and green circuits. The software architecture and solution methods are described, in the effort to foster more collaborative research.
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In the citing paper
“OpenDSS has great advantage that determines the voltage and operating point of each inverter based on its volt-var curve.”
From Adaptive Volt–Var Control in Smart PV Inverter for Mitigating Voltage Unbalance at PCC Using Multiagent Deep Reinforcement Learning (2021) · cites this paper as [27]
Citations
Cites
Distribution System Modeling and Analysis
Kersting, W. H. (2006) · CRC Press eBooks · doi:10.1201/9781420006162 · Cited by 232
The IEEE 8500-node test feeder
Arritt, R. F., & Dugan, R. C. (2010) · IEEE PES Transmission and Distribution Conference and Exhibition · doi:10.1109/tdc.2010.5484381 · Cited by 186
Self-citationModeling Smart Grid Applications with Co-Simulation
Godfrey, T., Mullen, S., GRIFFITH, D. W. T., Golmie, N., Dugan, R. C., & Rodine, C. (2010) · IEEE International Conference on Smart Grid Communications (SmartGridComm) · doi:10.1109/smartgrid.2010.5622057 · Cited by 155
Self-citationDistribution System Analysis to support the Smart Grid
Dugan, R. C., Arritt, R. F., McDermott, T. E., Brahma, S., & Schneider, K. P. (2010) · IEEE Power Engineering Society General Meeting · doi:10.1109/pes.2010.5589539 · Cited by 68
Self-citationInduction machine test case for the 34-bus test feeder -description
Dugan, R. C., & Kersting, W. H. (2006) · IEEE Power Engineering Society General Meeting · doi:10.1109/pes.2006.1709506 · Cited by 61
Self-citationde Araújo, L. R., Penido, D. R. R., Carneiro, S., Pereira, J. L. R., & Garcia, P. A. N. (2006) · IEEE PES Power Systems Conference and Exposition · doi:10.1109/psce.2006.296368 · Cited by 49
Roadmap for the IEEE PES test feeders
Dugan, R. C., Kersting, W. H., Carneiro, S., Arritt, R. F., & McDermott, T. E. (2009) · IEEE PES Power Systems Conference and Exposition · doi:10.1109/psce.2009.4840231 · Cited by 27
Self-citationA test feeder for DG protection analysis
McDermott, T. E. (2011) · IEEE PES Power Systems Conference and Exposition · doi:10.1109/psce.2011.5772608 · Cited by 14
Self-citation
Research works printed but not linked: 5
- 0, IEEE PES Distribution Systems Analysis Subcommittee Radial Test Feeders
- 0, MultiSpeak
- 0, CIM User Site
- 0, OpenDSS Program [Online]
- 0, UWIG Distributed Wind Impacts Project
Cited by
Sorted by citations
Thurner, L., Scheidler, A., Schafer, F., Menke, J., Dollichon, J., Meier, F., Meinecke, S., & Braun, M. (2018) · IEEE Transactions on Power Systems · doi:10.1109/tpwrs.2018.2829021 · Cited by 1,194
Analytic Considerations and Design Basis for the IEEE Distribution Test Feeders
Schneider, K. P., Mather, B. A., Pal, B. C., Ten, C., Shirek, G. J., Zhu, H., Fuller, J., Pereira, J. L. R., Ochoa, L. F., de Araújo, L. R., et al. (2017) · IEEE Transactions on Power Systems · doi:10.1109/tpwrs.2017.2760011 · Cited by 715
Self-citationFault Location in Power Distribution Systems via Deep Graph Convolutional Networks
Chen, K., Hu, J., Zhang, Y., Yu, Z., & He, J. (2019) · IEEE Journal on Selected Areas in Communications · doi:10.1109/jsac.2019.2951964 · Cited by 350
Probabilistic Impact Assessment of Low Carbon Technologies in LV Distribution Systems
Navarro-Espinosa, A., & Ochoa, L. F. (2015) · IEEE Transactions on Power Systems · doi:10.1109/tpwrs.2015.2448663 · Cited by 297
A python-based software tool for power system analysis
Milano, F. (2013) · IEEE Power Engineering Society General Meeting · doi:10.1109/pesmg.2013.6672387 · Cited by 252
Metadata
- Authors
- Dugan, R. C., & McDermott, T. E.
- Affiliations
- Electric Power Research Institute (US)
- Venue
- 2011 IEEE Power and Energy Society General Meeting
- Publisher
- IEEE
- Published
- 2011-07
- Pages
- 1-7
- ISSN
- 1932-5517 (ISSN-L)
- OpenAlex
- W2117750133
- Cited by
- 533
- References
- 8
- Citations by year
- 2026: 24 · 2025: 35 · 2024: 43 · 2023: 43 · 2022: 40 · 2021: 66 · 2020: 54 · 2019: 41 · 2018: 50 · 2017: 36 · 2016: 28 · 2015: 33 · 2014: 19 · 2013: 10 · 2012: 10
- FWCI
- 17.36
- Type
- conference paper
- Language
- en
- Open access
- closed
- Locations
- IEEE Power Engineering Society General Meeting (publishedVersion)
- Topics
- Physical Sciences › Engineering › Electrical and Electronic Engineering › Optimal Power Flow Distribution
- Physical Sciences › Engineering › Electrical and Electronic Engineering › Power Systems and Technologies
- Physical Sciences › Engineering › Electrical and Electronic Engineering › Smart Grid and Power Systems
- Keywords
- OpenDSS, smart grid, volt/var control, co-simulation, dynamic link library, COM automation, state estimation, EV penetration, distribution networks
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