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The implementation of optimal power flow (OPF) methods to perform voltage and power flow regulation in electric networks is generally believed to require extensive communication.
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2014
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2015
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2017
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2017
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2018
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R. Mieth and Y. Dvorkin, “Data-driven distributionally robust optimal power flow for distribution systems,” IEEE Control Systems Letters , vol. 2, no. 3, pp. 363–368, 2018
2018
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H. Xu, A. D. Domínguez-García, and P. W. Sauer, “A Data-driven Voltage Control Framework for Power Distribution Systems,” in Power & Energy Society General Meeting (PESGM) . Portland: IEEE, Aug. 2018
2018
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R. A. Jabr, “Linear decision rules for control of reactive power by distributed photovoltaic generators,” IEEE Transactions on Power Systems , vol. 33, no. 2, pp. 2165–2174, 2018
2018
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2018
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2018
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S. Karagiannopoulos, P. Aristidou, and G. Hug, “Data-driven Local Control Design for Active Distribution Grids using off-line Optimal Power Flow and Machine Learning Techniques,” IEEE Transactions on Smart Grid , pp. 1–1, 2019
2019
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S. Karagiannopoulos, R. Dobbe, P. Aristidou, D. Callaway, and G. Hug, “Data-driven Control Design Schemes in Active Distribution Grids: Capabilities and Challenges,” in Under Review , 2019, p. 6
2019
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