Open Access
Issue
E3S Web Conf.
Volume 58, 2018
Rudenko International Conference “Methodological problems in reliability study of large energy systems” (RSES 2018)
Article Number 01014
Number of page(s) 5
Section Innovative Energy Technologies and their Impact on the Reliability of Energy Systems
DOI https://doi.org/10.1051/e3sconf/20185801014
Published online 10 October 2018
  1. Pierluigi Mancarella. MES (multi-energy systems): An overview of concepts and evaluation models // Energy, 2014, Vol. 65, p. 1–17. [CrossRef] [Google Scholar]
  2. Pierluigi Mancarella, Göran Andersson, J.A. Peças-Lopes, Keith R.W. Bell. Modelling of integrated multi-energy systems: Drivers, requirements, and opportunities // Power Systems Computation Conference (PSCC), 2016, Genoa, Italy. DOI: 10.1109/PSCC.2016.7541031. [Google Scholar]
  3. Nikolai I. Voropai, Valery A. Stennikov, Evgeny A. Barakhtenko, Oleg N. Voitov, Ivan V. Postnikov. A Model for Control of Steady State ofIntelligent Integrated Energy System // Energy System Research, 2018, vol. 1(1), p. 57–66. [Google Scholar]
  4. Henrik Lund, Poul Alberg Østergaard, David Connolly, Brian Vad Mathiesen. Smart energy and smart energy systems // Energy, 2017, Vol. 137, p. 556–565. [CrossRef] [Google Scholar]
  5. Ni Zhang, Yu Yan, Wencong Su. A game-theoretic economic operation of residential distribution system with high participation of distributed electricity prosumers // Applied Energy, 2015, Vol. 154, p. 471–479. [CrossRef] [Google Scholar]
  6. Luka Perkovic, Hrvoje Mikulcic, Neven Duic. Multi-objective optimization of a simplified factory model acting as a prosumer on the electricity market // Journal of Cleaner Production, 2017, Vol. 167, p. 1438–1449. [CrossRef] [Google Scholar]
  7. Hongming Yang, Tonglin Xiong, Jing Qiu et al. Optimal operation of DES/CCHP based regional multi-energy prosumer with demand response // Appled Energy, 2016, Vol. 167, p. 353–365. [CrossRef] [Google Scholar]
  8. Rehman Zafar, Anzar Mahmood, Sohail Razzaq et al. Prosumer based energy management and sharing in smart grid // Renewable and Sustainable Energy Reviews, 2018, Vol. 82, p. 1675–1684. [CrossRef] [Google Scholar]
  9. Stig Ødegaard Ottesen, Asgeir Tomasgard, Stein-Erik Fleten. Prosumer bidding and scheduling in electricity markets // Energy, 2016, Vol. 94, p. 828–843. [CrossRef] [Google Scholar]
  10. Dimitrios J. Vergados, Ioannis Mamounakis, Prodromos Makris, Emmanouel Varvarigos. Prosumer clustering into virtual microgrids for cost reduction in renewable energy trading markets // Sustainable Energy, Grids and Networks, 2016, Vol. 7, p. 90–103. [Google Scholar]
  11. Lakshmi Prakash, Sugatha Kumari P.R, Sharanya Chandran et al. Self-sufficient Smart Prosumers of Tomorrow // Procedia Technology, 2015, Vol. 21, p. 338–344. [CrossRef] [Google Scholar]
  12. Lisa Brange, Jessica Englund, Patrick Lauenburg. Prosumers in district heating networks – A Swedish case study // Applied Energy, 2016, Vol. 164, p. 492–500. [CrossRef] [Google Scholar]
  13. Lisa Brand, Alexandra Calvén, Jessica Englund et al. Smart district heating networks – A simulation study of prosumers’ impact on technical parameters in distribution networks // Applied Energy, 2014, Vol. 129, p. 39–48. [CrossRef] [Google Scholar]
  14. Hanne Kauko, Karoline Husevåg Kvalsvik, Daniel Rohdeb et al. Dynamic modeling of local district heating grids with prosumers: A case study for Norway // Energy, 2018, Vol. 151, p. 261–271. [CrossRef] [Google Scholar]
  15. Stennikov V.A., Postnikov I.V., Penkovskii A.V. Methods and models of optimal managing of district heating systems with prosumers // E3S Web of Conferences “Methodological Problems in Reliability Study of Large Energy Systems”, 2017, Vol. 25, p.5 [Google Scholar]
  16. Postnikov I.V., Stennikov V.A. Methods and models of ensuring reliability of district heating systems with prosumers // E3S Web of Conferences “Methodological Problems in Reliability Study of Large Energy Systems”, 2017, Vol. 25, p.6 [Google Scholar]
  17. Merenkov A.P., Khaselev V.Ya. Theory of hydraulic circuits / Moscow: Nauka, 1985, p.278 [Google Scholar]
  18. Sennova E.V., Sidler V.G. Mathematical modeling and optimization of developing district heating systems / Novosibirsk: Nauka, 1985, p.222 [Google Scholar]
  19. Gimadi V.I. The reform that warms: what is expected from reforms in heat supply // Industrial Organization, 2014, No. 4 (46), p. 49–64. [Google Scholar]
  20. Stennikov V.A., Khamisov O.V., Pen`kovskii A.V. Optimizing the Heat Market on the Basis of a Two-Level Approach // Thermal Engineering, 2011, vol. 58(12), p. 1043–1048. [CrossRef] [Google Scholar]
  21. Penkovskii A.V., Stennikov V.A., Khamisov O.V., Mednikova E.E., Postnikov, I.V. Search for a Market Equilibrium in the Oligopoly Heat Market // Energy Procedia, 2017, Vol. 105, p. 3158–3163. [CrossRef] [Google Scholar]
  22. Sokolov V.Ya. Heating and heating networks / M.: Publishing house of MEI, 1999, p.472 [Google Scholar]

Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.

Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.

Initial download of the metrics may take a while.