Innovative Application of Model-Based Predictive Control for Low-Voltage Power Distribution Grids with Significant Distributed Generation
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- Stephen Frank & Steffen Rebennack, 2016. "An introduction to optimal power flow: Theory, formulation, and examples," IISE Transactions, Taylor & Francis Journals, vol. 48(12), pages 1172-1197, December.
- Meyabadi, A. Fattahi & Deihimi, M.H., 2017. "A review of demand-side management: Reconsidering theoretical framework," Renewable and Sustainable Energy Reviews, Elsevier, vol. 80(C), pages 367-379.
- Pepermans, G. & Driesen, J. & Haeseldonckx, D. & Belmans, R. & D'haeseleer, W., 2005.
"Distributed generation: definition, benefits and issues,"
Energy Policy, Elsevier, vol. 33(6), pages 787-798, April.
- Guido Pepermans & Johan Driesen & Dries Haeseldonckx, 2003. "Distributed generation: definition, benefits and issues," Energy, Transport and Environment Working Papers Series ete0308, KU Leuven, Department of Economics - Research Group Energy, Transport and Environment.
- Aghaei, Jamshid & Alizadeh, Mohammad-Iman, 2013. "Demand response in smart electricity grids equipped with renewable energy sources: A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 18(C), pages 64-72.
- Swan, Lukas G. & Ugursal, V. Ismet, 2009. "Modeling of end-use energy consumption in the residential sector: A review of modeling techniques," Renewable and Sustainable Energy Reviews, Elsevier, vol. 13(8), pages 1819-1835, October.
- Abdi, Hamdi & Beigvand, Soheil Derafshi & Scala, Massimo La, 2017. "A review of optimal power flow studies applied to smart grids and microgrids," Renewable and Sustainable Energy Reviews, Elsevier, vol. 71(C), pages 742-766.
- Strbac, Goran, 2008. "Demand side management: Benefits and challenges," Energy Policy, Elsevier, vol. 36(12), pages 4419-4426, December.
- Syranidis, Konstantinos & Robinius, Martin & Stolten, Detlef, 2018. "Control techniques and the modeling of electrical power flow across transmission networks," Renewable and Sustainable Energy Reviews, Elsevier, vol. 82(P3), pages 3452-3467.
- Pesaran H.A, Mahmoud & Huy, Phung Dang & Ramachandaramurthy, Vigna K., 2017. "A review of the optimal allocation of distributed generation: Objectives, constraints, methods, and algorithms," Renewable and Sustainable Energy Reviews, Elsevier, vol. 75(C), pages 293-312.
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- Nouha Dkhili & Julien Eynard & Stéphane Thil & Stéphane Grieu, 2021. "Resilient Predictive Control Coupled with a Worst-Case Scenario Approach for a Distributed-Generation-Rich Power Distribution Grid," Clean Technol., MDPI, vol. 3(3), pages 1-27, August.
- Renata Rodrigues Lautert & Wagner da Silva Brignol & Luciane Neves Canha & Olatunji Matthew Adeyanju & Vinícius Jacques Garcia, 2022. "A Flexible-Reliable Operation Model of Storage and Distributed Generation in a Biogas Power Plant," Energies, MDPI, vol. 15(9), pages 1-21, April.
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Keywords
low-voltage power distribution grids; smart grid paradigm; distributed generation; model-based predictive control; flexible asset management; mixed-integer nonlinear programming; relaxation; computational complexity;All these keywords.
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