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Optimal planning and operation of aggregated distributed energy resources with market participation

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Cited by:

  1. Möbius, Thomas & Riepin, Iegor & Müsgens, Felix & van der Weijde, Adriaan H., 2023. "Risk aversion and flexibility options in electricity markets," Energy Economics, Elsevier, vol. 126(C).
  2. Bohlayer, Markus & Zöttl, Gregor, 2018. "Low-grade waste heat integration in distributed energy generation systems - An economic optimization approach," Energy, Elsevier, vol. 159(C), pages 327-343.
  3. Tao Chen & Qais Alsafasfeh & Hajir Pourbabak & Wencong Su, 2017. "The Next-Generation U.S. Retail Electricity Market with Customers and Prosumers—A Bibliographical Survey," Energies, MDPI, vol. 11(1), pages 1-17, December.
  4. Rai, Ussama & Chen, Jingyi & Oluleye, Gbemi & Hawkes, Adam, 2025. "Stochastic optimisation model to optimise the contractual generation capacity of a battery-integrated distributed energy resource in a balancing services contract," Energy, Elsevier, vol. 322(C).
  5. Lemmer, Andreas & Krümpel, Johannes, 2017. "Demand-driven biogas production in anaerobic filters," Applied Energy, Elsevier, vol. 185(P1), pages 885-894.
  6. Castagneto Gissey, Giorgio & Subkhankulova, Dina & Dodds, Paul E. & Barrett, Mark, 2019. "Value of energy storage aggregation to the electricity system," Energy Policy, Elsevier, vol. 128(C), pages 685-696.
  7. Javier Rodríguez-García & David Ribó-Pérez & Carlos Álvarez-Bel & Elisa Peñalvo-López, 2019. "Novel Conceptual Architecture for the Next-Generation Electricity Markets to Enhance a Large Penetration of Renewable Energy," Energies, MDPI, vol. 12(13), pages 1-23, July.
  8. Andrea Alberizzi & Paolo Barba & Florian Ziel, 2025. "Agent based modeling for intraday electricity markets," OPSEARCH, Springer;Operational Research Society of India, vol. 62(1), pages 178-197, March.
  9. Chakraborty, Shantanu & Baarslag, Tim & Kaisers, Michael, 2020. "Automated peer-to-peer negotiation for energy contract settlements in residential cooperatives," Applied Energy, Elsevier, vol. 259(C).
  10. Anvari-Moghaddam, Amjad & Rahimi-Kian, Ashkan & Mirian, Maryam S. & Guerrero, Josep M., 2017. "A multi-agent based energy management solution for integrated buildings and microgrid system," Applied Energy, Elsevier, vol. 203(C), pages 41-56.
  11. Shan Shan & Siliang Yang & Victor Becerra & Jiamei Deng & Honglei Li, 2023. "A Case Study of Existing Peer-to-Peer Energy Trading Platforms: Calling for Integrated Platform Features," Sustainability, MDPI, vol. 15(23), pages 1-22, November.
  12. Regina Hemm & Ksenia Poplavskaya & Stefan Strömer & Miriam Schwebler & Bernadette Fina & Fabian Leimgruber, 2022. "What Incentives Are Required for Renewables to Provide Redispatch Services? A Simulation in a Multi-Market Setting," Energies, MDPI, vol. 15(15), pages 1-21, August.
  13. Rodríguez-Vilches, Rubén & Martín-Martínez, Francisco & Sánchez-Miralles, Álvaro & Gutiérrez de la Cámara, Javier Rodrigo & Muñoz Delgado, Sergio, 2024. "Methodology to assess prosumer participation in European electricity markets," Renewable and Sustainable Energy Reviews, Elsevier, vol. 191(C).
  14. Jingpeng Yue & Zhijian Hu & Amjad Anvari-Moghaddam & Josep M. Guerrero, 2019. "A Multi-Market-Driven Approach to Energy Scheduling of Smart Microgrids in Distribution Networks," Sustainability, MDPI, vol. 11(2), pages 1-16, January.
  15. Burger, Scott & Chaves-Ávila, Jose Pablo & Batlle, Carlos & Pérez-Arriaga, Ignacio J., 2017. "A review of the value of aggregators in electricity systems," Renewable and Sustainable Energy Reviews, Elsevier, vol. 77(C), pages 395-405.
  16. Adam Lesniak & Dawid Chudy & Rafal Dzikowski, 2020. "Modelling of Distributed Resource Aggregation for the Provision of Ancillary Services," Energies, MDPI, vol. 13(18), pages 1-16, September.
  17. Zhigang Duan & Yamin Yan & Xiaohan Yan & Qi Liao & Wan Zhang & Yongtu Liang & Tianqi Xia, 2017. "An MILP Method for Design of Distributed Energy Resource System Considering Stochastic Energy Supply and Demand," Energies, MDPI, vol. 11(1), pages 1-23, December.
  18. Bloemendal, Martin & Jaxa-Rozen, Marc & Olsthoorn, Theo, 2018. "Methods for planning of ATES systems," Applied Energy, Elsevier, vol. 216(C), pages 534-557.
  19. Pearson, Simon & Wellnitz, Sonja & Crespo del Granado, Pedro & Hashemipour, Naser, 2022. "The value of TSO-DSO coordination in re-dispatch with flexible decentralized energy sources: Insights for Germany in 2030," Applied Energy, Elsevier, vol. 326(C).
  20. Zhou, Yue & Wu, Jianzhong & Long, Chao, 2018. "Evaluation of peer-to-peer energy sharing mechanisms based on a multiagent simulation framework," Applied Energy, Elsevier, vol. 222(C), pages 993-1022.
  21. Haddadian, Hossein & Noroozian, Reza, 2017. "Multi-microgrids approach for design and operation of future distribution networks based on novel technical indices," Applied Energy, Elsevier, vol. 185(P1), pages 650-663.
  22. Binod Prasad Koirala & José Pablo Chaves Ávila & Tomás Gómez & Rudi A. Hakvoort & Paulien M. Herder, 2016. "Local Alternative for Energy Supply: Performance Assessment of Integrated Community Energy Systems," Energies, MDPI, vol. 9(12), pages 1-24, November.
  23. Iria, José & Soares, Filipe & Matos, Manuel, 2019. "Optimal bidding strategy for an aggregator of prosumers in energy and secondary reserve markets," Applied Energy, Elsevier, vol. 238(C), pages 1361-1372.
  24. Zhang, Shenxi & Cheng, Haozhong & Wang, Dan & Zhang, Libo & Li, Furong & Yao, Liangzhong, 2018. "Distributed generation planning in active distribution network considering demand side management and network reconfiguration," Applied Energy, Elsevier, vol. 228(C), pages 1921-1936.
  25. Alqahtani, Mohammed & Hu, Mengqi, 2020. "Integrated energy scheduling and routing for a network of mobile prosumers," Energy, Elsevier, vol. 200(C).
  26. Pedro Faria & João Spínola & Zita Vale, 2018. "Reschedule of Distributed Energy Resources by an Aggregator for Market Participation," Energies, MDPI, vol. 11(4), pages 1-15, March.
  27. Gomes, I.L.R. & Melicio, R. & Mendes, V.M.F. & Pousinho, H.M.I., 2019. "Decision making for sustainable aggregation of clean energy in day-ahead market: Uncertainty and risk," Renewable Energy, Elsevier, vol. 133(C), pages 692-702.
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