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Inverter VAR control for distribution systems with renewables
Open accessAbstract
Motivated by the need to cope with rapid and random fluctuations of renewable generation, we presents a model that augments the traditional Volt/VAR control through switched controllers on a slow timescale with inverter control on a fast timescale. The optimization problem is generally nonconvex and therefore hard to solve. We propose a simple convex relaxation and prove that it is exact provided over-satisfaction of load is allowed. Hence Volt/VAR control over radial networks is efficiently solvable. Simulations of a real-world distribution circuit illustrates that the proposed inverter control achieves significant improvement over the IEEE 1547 standard in terms of power quality and power savings.
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“these conditions require some bus to be able to draw infinite power, which is referred to as load over-satisfaction in the literature. For example, the conditions given in [9], [13], [14] require load over-satisfaction on some/all of the buses.”
From Optimal power flow in distribution networks (2018) · cites this paper as [9]
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“To summarize, all sufficient conditions in the literature that guarantee the exactness of the SOCP relaxation require removing some of the constraints in OPF, and do not hold in practice.”
From Optimal power flow in distribution networks (2018) · cites this paper as [9]
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“Proposition 1 ( [9]) The SOCP relaxation is exact if p i = -∞ and q i = -∞ for i ∈ N + .”
From Optimal power flow in distribution networks (2018) · cites this paper as [9]
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Cites
Ipakchi, A., & Albuyeh, F. (2009) · IEEE Power and Energy Magazine · doi:10.1109/mpe.2008.931384 · Cited by 1,644
Optimal sizing of capacitors placed on a radial distribution system
Baran, M. E., & Wu, F. F. (1989) · IEEE Transactions on Power Delivery · doi:10.1109/61.19266 · Cited by 1,536
Turitsyn, K. S., Šulc, P., Backhaus, S., & Chertkov, M. (2010) · IEEE Power Engineering Society General Meeting · doi:10.1109/pes.2010.5589663 · Cited by 233
Grainger, J. J., & Civanlar, S. (1985) · IEEE Transactions on Power Apparatus and Systems · doi:10.1109/tpas.1985.318842 · Cited by 231
Civanlar, S., & Grainger, J. J. (1985) · IEEE Transactions on Power Apparatus and Systems · doi:10.1109/tpas.1985.318844 · Cited by 209
Evaluation of Conservation Voltage Reduction (CVR) on a National Level
Schneider, K. P., Fuller, J., Tuffner, F., & Singh, R. (2010) · doi:10.2172/990131 · Cited by 208
Local Control of Reactive Power by Distributed Photovoltaic Generators
Turitsyn, K., Sulc, P., Backhaus, S., & Chertkov, M. (2010) · 2010 First IEEE International Conference on Smart Grid Communications · doi:10.1109/smartgrid.2010.5622021 · Cited by 200
Distribution System Voltage Performance Analysis for High-Penetration Photovoltaics
Liu, E., & Bebic, J. Z. (2008) · doi:10.2172/924648 · Cited by 162
Impact of distributed generation on volt/var control in distribution networks
Niknam, T., Ranjbar, A. M., & Shinari, A. R. (2004) · doi:10.1109/ptc.2003.1304390 · Cited by 145
Optimal power flow over tree networks
Bose, S., Gayme, D. F., Low, S. H., & Chandy, K. M. (2011) · Allerton Conference on Communication, Control, and Computing · doi:10.1109/allerton.2011.6120323 · Cited by 91
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Research works printed but not linked: 2
- grant, 0, "CVX Matlab Software for Disciplined Convex Programming " [Online]
- sojoudi, 2011, Network Topologies Guaranteeing Zero Duality Gap for Optimal Power Flow Problem
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Liu, C., Ma, X., Zhou, M., Wu, J. B., & Long, C. (2017) · International Journal of Electrical Power & Energy Systems · doi:10.1016/j.ijepes.2017.08.030 · Cited by 8
Filho, G. L., Corrêa, H. P., & Vieira, F. H. T. (2023) · Energies · doi:10.3390/en16196761 · Cited by 8
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Yeh, H., Doan, S., & Gayme, D. F. (2012) · IEEE Power Engineering Society General Meeting · doi:10.1109/pesgm.2012.6344867 · Cited by 8
Sharma, A. K., Kolhe, M. L., Ulltveit-Moe, N., Muddineni, K., Mudgal, A., & Garud, S. S. (2018) · International Conference Automation and Computational Engineering · doi:10.1109/icace.2018.8687041 · Cited by 8
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Chen, Y., Strothers, M., & Benigni, A. (2016) · IEEE Power Engineering Society General Meeting · doi:10.1109/pesgm.2016.7741863 · Cited by 8
Exact convex relaxation for optimal power flow in distribution networks
Gan, L., Li, N., Low, S. H., & Topcu, U. (2013) · ACM SIGMETRICS Performance Evaluation Review · doi:10.1145/2494232.2465535 · Cited by 8
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Yu, L., & Ishikawa, M. (2017) · Asian Journal of Control · doi:10.1002/asjc.1483 · Cited by 7
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Gan, L., & Low, S. H. (2014) · Power Systems Computation Conference · doi:10.1109/pscc.2014.7038373 · Cited by 7
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Ntakou, E., Masiello, R. D., Farzan, F., Bahramirad, S., Paaso, E. A., Nayeem, M. A., Maigha, M., & Kushner, D. (2019) · The Electricity Journal · doi:10.1016/j.tej.2019.03.007 · Cited by 7
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Rana, R., & Torsæter, B. N. (2021) · IEEE PowerTech Conference · doi:10.1109/powertech46648.2021.9495041 · Cited by 6
Conservation voltage reduction of networked microgrids
Constante‐Flores, G. E., Abillama, J., Illindala, M. S., & Wang, J. (2019) · IET Generation Transmission & Distribution · doi:10.1049/iet-gtd.2018.5750 · Cited by 6
Optimal sizing of photovoltaic systems for loss minimization in distribution network
Ikeda, S., Takeda, A., & Ohmori, H. (2018) · SICE International Symposium on Control Systems (SICE ISCS) · doi:10.23919/siceiscs.2018.8330174 · Cited by 5
Peak shaving: a planning alternative to reduce investment costs in distribution systems?
Martin, B., Feron, B., Jaeger, E. D., Glineur, F., & Monti, A. (2018) · Energy Systems · doi:10.1007/s12667-018-0299-3 · Cited by 5
Zidar, M., Capuder, T., Georgilakis, P. S., & Škrlec, D. (2014) · Cited by 5
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Liu, Z., You, S., Zhou, X., Ding, G., & Chen, L. (2019) · IEEE Transactions on Smart Grid · doi:10.1109/tsg.2019.2920825 · Cited by 5
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Li, X., Wu, Z., Yang, L., Sun, M., & Zhao, X. (2022) · Energy Reports · doi:10.1016/j.egyr.2022.08.031 · Cited by 5
Active Distribution Network Expansion Planning Integrating Practical Operation Constraints
Xing, H., Fu, Y., & Cheng, H. (2017) · Electric Power Components and Systems · doi:10.1080/15325008.2017.1378942 · Cited by 4
Stai, E., Stoffel, J., & Hug, G. (2022) · Energies · doi:10.3390/en15239017 · Cited by 4
Hwang, P.-I., Moon, S., & Ahn, S.-J. (2016) · Energies · doi:10.3390/en9090666 · Cited by 4
Heidarifar, M., Andrianesis, P. E., & Caramanis, M. C. (2021) · IEEE Conference on Decision and Control (CDC) · doi:10.1109/cdc45484.2021.9683163 · Cited by 4
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Liu, X. (2017) · UKnowledge (University of Kentucky) · doi:10.13023/etd.2017.332 · Cited by 4
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Schultz, R., & Wollenberg, T. (2016) · RAIRO - Operations Research · doi:10.1051/ro/2016031 · Cited by 3
Zhou, B., Ai, X., Fang, J., Wen, J., & Yang, J. (2017) · The Journal of Engineering · doi:10.1049/joe.2017.0574 · Cited by 3
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Chen, H., Zhang, W., Lian, J. J., & Conejo, A. J. (2017) · IEEE Conference on Decision and Control (CDC) · doi:10.1109/cdc.2017.8264612 · Cited by 3
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Fierro, G., Moffat, K., Pakshong, J., & von Meier, A. (2020) · IEEE International Conference on Communications, Control, and Computing Technologies for Smart Grids (SmartGridComm) · doi:10.1109/smartgridcomm47815.2020.9303006 · Cited by 3
Carlak, H. F., & Güler, F. (2021) · Electrical Engineering · doi:10.1007/s00202-021-01317-2 · Cited by 3
Mousa, I. N., & Jabr, R. A. (2018) · IEEE International Multidisciplinary Conference on Engineering Technology (IMCET) · doi:10.1109/imcet.2018.8603051 · Cited by 3
Biswas, B. D., & Kamalasadan, S. (2021) · IEEE Industry Applications Society Annual Meeting (IAS) · doi:10.1109/ias48185.2021.9677276 · Cited by 3
Qamar, H., Qamar, H., & Vaccaro, A. (2017) · IEEE International Conference on Fuzzy Systems (FUZZ-IEEE) · doi:10.1109/fuzz-ieee.2017.8015395 · Cited by 3
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Li, Y., & Ishikawa, M. (2015) · Asian Control Conference (ASCC) · doi:10.1109/ascc.2015.7244643 · Cited by 2
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Bugosen, S., Parker, R., & Coffrin, C. (2024) · IEEE Transactions on Power Systems · doi:10.1109/tpwrs.2024.3470428 · Cited by 2
Kang, Z., Ma, X., Lv, L., Fang, X., & Wang, Z. (2024) · Power System and Green Energy Conference (PSGEC) · doi:10.1109/psgec62376.2024.10721107 · Cited by 2
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Chen, S., & Cheng, R. S. (2014) · IEEE Vehicular Technology Conference · doi:10.1109/vtcfall.2014.6966095 · Cited by 2
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Wang, G., Kekatos, V., & Giannakis, G. B. (2016) · IEEE International Conference on Acoustics Speech and Signal Processing · doi:10.1109/icassp.2016.7472323 · Cited by 2
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Nowak, S., Wang, L., Eberle, W., Shotorbani, A. M., & Metcalfe, M. S. (2019) · Conference proceedings - Canadian Conference on Electrical and Computer Engineering · doi:10.1109/ccece.2019.8861874 · Cited by 2
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Mubarak, H., McHugh, K., Cheong, B., & Sanjari, M. J. (2025) · Australasian Universities Power Engineering Conference · doi:10.1109/aupec66173.2025.11219435 · Cited by 1
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Su, X., Masoum, M. A. S., & Wolfs, P. (2013) · IEEE Power Engineering Society General Meeting · doi:10.1109/pesmg.2013.6672477 · Cited by 1
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Mohammadyari, M., & Eskandari, M. (2024) · Energies · doi:10.3390/en17174292 · Cited by 1
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Ledari, H. T. (2017) · Cited by 1
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Zhang, J., Cui, M., & He, Y. (2021) · Energies · doi:10.3390/en14164911 · Cited by 1
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Bose, S. (2014) · CaltechTHESIS (California Institute of Technology) · doi:10.7907/frgw-af26 · Cited by 1
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Price and output control in a community power network with renewable generations
Zhou, J., Hu, R. Q., Zhang, X., & Qian, Y. (2012) · IEEE International Conference on Smart Grid Communications (SmartGridComm) · doi:10.1109/smartgridcomm.2012.6486047
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Liu, Z. (2014) · CaltechTHESIS (California Institute of Technology) · doi:10.7907/296t-hr79
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Robbins, B. A. (2015) · Illinois Digital Environment for Access to Learning and Scholarship (University of Illinois at Urbana-Champaign)
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Farina, M., Giancarlo Ferrari-trecate, A., Jones, C. N., Riverso, S., & Zeilinger, M. N. (2018) · Control engineering · doi:10.1007/978-3-319-77489-3_12
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Yang, Q., Coutiño, M., Wang, G., Giannakis, G. B., & Leus, G. J. T. (2019) · arXiv (Cornell University) · doi:10.48550/arxiv.1911.03072
Metadata
- Authors
- Farivar, M., Clarke, C. R., Low, S. H., & Chandy, K. M.
- Affiliations
- California Institute of Technology (US)
- Edison International (United States) (US)
- Venue
- 2011 IEEE International Conference on Smart Grid Communications (SmartGridComm)
- Publisher
- IEEE
- Published
- 2011-10
- Pages
- 457-462
- OpenAlex
- W1978282571
- Cited by
- 331
- References
- 13
- Citations by year
- 2026: 5 · 2025: 14 · 2024: 13 · 2023: 12 · 2022: 14 · 2021: 22 · 2020: 35 · 2019: 26 · 2018: 24 · 2017: 36 · 2016: 28 · 2015: 30 · 2014: 39 · 2013: 20 · 2012: 12
- FWCI
- 31.25
- Type
- conference paper
- Language
- en
- Open access
- green
- zenodo.org
- Licence
- public-domain
- Locations
- IEEE International Conference on Smart Grid Communications (SmartGridComm) (publishedVersion)
- CaltechAUTHORS (California Institute of Technology) (submittedVersion)
- Zenodo (CERN European Organization for Nuclear Research) (submittedVersion, public-domain)
- Topics
- Physical Sciences › Engineering › Electrical and Electronic Engineering › Optimal Power Flow Distribution
- Physical Sciences › Engineering › Control and Systems Engineering › Microgrid Control and Optimization
- Physical Sciences › Engineering › Electrical and Electronic Engineering › Power Quality and Harmonics
- Keywords
- volt/var control, inverter control, distribution systems, renewable generation integration, convex relaxation, radial distribution systems, power quality, IEEE 1547, non-convex optimization
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
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