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Smart control for minimizing distribution network reinforcement cost due to electrification

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Cited by:

  1. Spyros Giannelos & Stefan Borozan & Marko Aunedi & Xi Zhang & Hossein Ameli & Danny Pudjianto & Ioannis Konstantelos & Goran Strbac, 2023. "Modelling Smart Grid Technologies in Optimisation Problems for Electricity Grids," Energies, MDPI, vol. 16(13), pages 1-15, June.
  2. Cox, Emily, 2018. "Assessing long-term energy security: The case of electricity in the United Kingdom," Renewable and Sustainable Energy Reviews, Elsevier, vol. 82(P3), pages 2287-2299.
  3. Neetzow, Paul & Mendelevitch, Roman & Siddiqui, Sauleh, 2019. "Modeling coordination between renewables and grid: Policies to mitigate distribution grid constraints using residential PV-battery systems," Energy Policy, Elsevier, vol. 132(C), pages 1017-1033.
  4. Rakesh Sinha & Birgitte Bak-Jensen & Jayakrishnan Radhakrishna Pillai, 2019. "Autonomous Controller for Flexible Operation of Heat Pumps in Low-Voltage Distribution Network," Energies, MDPI, vol. 12(8), pages 1-19, April.
  5. Oduro, Richard A. & Taylor, Peter G., 2023. "Future pathways for energy networks: A review of international experiences in high income countries," Renewable and Sustainable Energy Reviews, Elsevier, vol. 171(C).
  6. Liu, Yingqi, 2017. "Demand response and energy efficiency in the capacity resource procurement: Case studies of forward capacity markets in ISO New England, PJM and Great Britain," Energy Policy, Elsevier, vol. 100(C), pages 271-282.
  7. Georgiou, Solomos & Aunedi, Marko & Strbac, Goran & Markides, Christos N., 2020. "On the value of liquid-air and pumped-thermal electricity storage systems in low-carbon electricity systems," Energy, Elsevier, vol. 193(C).
  8. Parrish, Bryony & Heptonstall, Phil & Gross, Rob & Sovacool, Benjamin K., 2020. "A systematic review of motivations, enablers and barriers for consumer engagement with residential demand response," Energy Policy, Elsevier, vol. 138(C).
  9. Teng, Fei & Aunedi, Marko & Strbac, Goran, 2016. "Benefits of flexibility from smart electrified transportation and heating in the future UK electricity system," Applied Energy, Elsevier, vol. 167(C), pages 420-431.
  10. Crispim, João & Braz, José & Castro, Rui & Esteves, Jorge, 2014. "Smart Grids in the EU with smart regulation: Experiences from the UK, Italy and Portugal," Utilities Policy, Elsevier, vol. 31(C), pages 85-93.
  11. Hall, Stephen & Roelich, Katy, 2016. "Business model innovation in electricity supply markets: The role of complex value in the United Kingdom," Energy Policy, Elsevier, vol. 92(C), pages 286-298.
  12. Guo, Rui & Meunier, Simon & Protopapadaki, Christina & Saelens, Dirk, 2023. "A review of European low-voltage distribution networks," Renewable and Sustainable Energy Reviews, Elsevier, vol. 173(C).
  13. Javanshir, Nima & Syri, Sanna & Tervo, Seela & Rosin, Argo, 2023. "Operation of district heat network in electricity and balancing markets with the power-to-heat sector coupling," Energy, Elsevier, vol. 266(C).
  14. Steffen Nielsen & Lars Grundahl, 2018. "District Heating Expansion Potential with Low-Temperature and End-Use Heat Savings," Energies, MDPI, vol. 11(2), pages 1-17, January.
  15. Gupta, Ruchi & Pena-Bello, Alejandro & Streicher, Kai Nino & Roduner, Cattia & Farhat, Yamshid & Thöni, David & Patel, Martin Kumar & Parra, David, 2021. "Spatial analysis of distribution grid capacity and costs to enable massive deployment of PV, electric mobility and electric heating," Applied Energy, Elsevier, vol. 287(C).
  16. Edmunds, Calum & Galloway, Stuart & Dixon, James & Bukhsh, Waqquas & Elders, Ian, 2021. "Hosting capacity assessment of heat pumps and optimised electric vehicle charging on low voltage networks," Applied Energy, Elsevier, vol. 298(C).
  17. Paul W. Griffin & Geoffrey P. Hammond & Jonathan B. Norman, 2016. "Industrial energy use and carbon emissions reduction: a UK perspective," Wiley Interdisciplinary Reviews: Energy and Environment, Wiley Blackwell, vol. 5(6), pages 684-714, November.
  18. Lakshmanan, Venkatachalam & Sæle, Hanne & Degefa, Merkebu Zenebe, 2021. "Electric water heater flexibility potential and activation impact in system operator perspective – Norwegian scenario case study," Energy, Elsevier, vol. 236(C).
  19. Uddin, Kotub & Gough, Rebecca & Radcliffe, Jonathan & Marco, James & Jennings, Paul, 2017. "Techno-economic analysis of the viability of residential photovoltaic systems using lithium-ion batteries for energy storage in the United Kingdom," Applied Energy, Elsevier, vol. 206(C), pages 12-21.
  20. Peter Boait & J. Richard Snape & Robin Morris & Jo Hamilton & Sarah Darby, 2019. "The Practice and Potential of Renewable Energy Localisation: Results from a UK Field Trial," Sustainability, MDPI, vol. 11(1), pages 1-15, January.
  21. Heuberger, Clara F. & Bains, Praveen K. & Mac Dowell, Niall, 2020. "The EV-olution of the power system: A spatio-temporal optimisation model to investigate the impact of electric vehicle deployment," Applied Energy, Elsevier, vol. 257(C).
  22. Wang, Y. & Wang, J. & He, W., 2022. "Development of efficient, flexible and affordable heat pumps for supporting heat and power decarbonisation in the UK and beyond: Review and perspectives," Renewable and Sustainable Energy Reviews, Elsevier, vol. 154(C).
  23. Guerrero, Jaysson & Gebbran, Daniel & Mhanna, Sleiman & Chapman, Archie C. & Verbič, Gregor, 2020. "Towards a transactive energy system for integration of distributed energy resources: Home energy management, distributed optimal power flow, and peer-to-peer energy trading," Renewable and Sustainable Energy Reviews, Elsevier, vol. 132(C).
  24. Fischer, David & Madani, Hatef, 2017. "On heat pumps in smart grids: A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 70(C), pages 342-357.
  25. McKenna, Eoghan & Thomson, Murray, 2016. "High-resolution stochastic integrated thermal–electrical domestic demand model," Applied Energy, Elsevier, vol. 165(C), pages 445-461.
  26. Yunpeng Guo & Weijia Liu & Fushuan Wen & Abdus Salam & Jianwei Mao & Liang Li, 2017. "Bidding Strategy for Aggregators of Electric Vehicles in Day-Ahead Electricity Markets," Energies, MDPI, vol. 10(1), pages 1-20, January.
  27. Byers, Edward A. & Gasparatos, Alexandros & Serrenho, André C., 2015. "A framework for the exergy analysis of future transport pathways: Application for the United Kingdom transport system 2010–2050," Energy, Elsevier, vol. 88(C), pages 849-862.
  28. Lagomarsino, Maria & van der Kam, Mart & Parra, David & Hahnel, Ulf J.J., 2022. "Do I need to charge right now? Tailored choice architecture design can increase preferences for electric vehicle smart charging," Energy Policy, Elsevier, vol. 162(C).
  29. Trutnevyte, Evelina & Strachan, Neil & Dodds, Paul E. & Pudjianto, Danny & Strbac, Goran, 2015. "Synergies and trade-offs between governance and costs in electricity system transition," Energy Policy, Elsevier, vol. 85(C), pages 170-181.
  30. Ludig, Sylvie & Schmid, Eva & Haller, Markus & Bauer, Nico, 2015. "Assessment of transformation strategies for the German power sector under the uncertainty of demand development and technology availability," Renewable and Sustainable Energy Reviews, Elsevier, vol. 46(C), pages 143-156.
  31. Love, Jenny & Smith, Andrew Z.P. & Watson, Stephen & Oikonomou, Eleni & Summerfield, Alex & Gleeson, Colin & Biddulph, Phillip & Chiu, Lai Fong & Wingfield, Jez & Martin, Chris & Stone, Andy & Lowe, R, 2017. "The addition of heat pump electricity load profiles to GB electricity demand: Evidence from a heat pump field trial," Applied Energy, Elsevier, vol. 204(C), pages 332-342.
  32. Earl, James & Fell, Michael J., 2019. "Electric vehicle manufacturers' perceptions of the market potential for demand-side flexibility using electric vehicles in the United Kingdom," Energy Policy, Elsevier, vol. 129(C), pages 646-652.
  33. Li, Francis G.N. & Trutnevyte, Evelina & Strachan, Neil, 2015. "A review of socio-technical energy transition (STET) models," Technological Forecasting and Social Change, Elsevier, vol. 100(C), pages 290-305.
  34. Kucevic, Daniel & Englberger, Stefan & Sharma, Anurag & Trivedi, Anupam & Tepe, Benedikt & Schachler, Birgit & Hesse, Holger & Srinivasan, Dipti & Jossen, Andreas, 2021. "Reducing grid peak load through the coordinated control of battery energy storage systems located at electric vehicle charging parks," Applied Energy, Elsevier, vol. 295(C).
  35. Xu, Xiandong & Li, Kang & Qi, Fengyu & Jia, Hongjie & Deng, Jing, 2017. "Identification of microturbine model for long-term dynamic analysis of distribution networks," Applied Energy, Elsevier, vol. 192(C), pages 305-314.
  36. Kan, Xiaoming & Reichenberg, Lina & Hedenus, Fredrik, 2021. "The impacts of the electricity demand pattern on electricity system cost and the electricity supply mix: A comprehensive modeling analysis for Europe," Energy, Elsevier, vol. 235(C).
  37. Ito, Masakazu & Takano, Akihisa & Shinji, Takao & Yagi, Takahiro & Hayashi, Yasuhiro, 2017. "Electricity adjustment for capacity market auction by a district heating and cooling system," Applied Energy, Elsevier, vol. 206(C), pages 623-633.
  38. Neaimeh, Myriam & Wardle, Robin & Jenkins, Andrew M. & Yi, Jialiang & Hill, Graeme & Lyons, Padraig F. & Hübner, Yvonne & Blythe, Phil T. & Taylor, Phil C., 2015. "A probabilistic approach to combining smart meter and electric vehicle charging data to investigate distribution network impacts," Applied Energy, Elsevier, vol. 157(C), pages 688-698.
  39. Terreros, O. & Spreitzhofer, J. & Basciotti, D. & Schmidt, R.R. & Esterl, T. & Pober, M. & Kerschbaumer, M. & Ziegler, M., 2020. "Electricity market options for heat pumps in rural district heating networks in Austria," Energy, Elsevier, vol. 196(C).
  40. Few, Sheridan & Djapic, Predrag & Strbac, Goran & Nelson, Jenny & Candelise, Chiara, 2020. "Assessing local costs and impacts of distributed solar PV using high resolution data from across Great Britain," Renewable Energy, Elsevier, vol. 162(C), pages 1140-1150.
  41. Huang, Renfang & Zhang, Zhen & Zhang, Wei & Mou, Jiegang & Zhou, Peijian & Wang, Yiwei, 2020. "Energy performance prediction of the centrifugal pumps by using a hybrid neural network," Energy, Elsevier, vol. 213(C).
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