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Optimal supply and demand bidding strategy for an aggregator of small prosumers

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Cited by:

  1. Cruz, Carlos & Alskaif, Tarek & Palomar, Esther & Bravo, Ignacio, 2023. "Prosumers integration in aggregated demand response systems," Energy Policy, Elsevier, vol. 182(C).
  2. Jan Niklas Buescher & Daria Gottwald & Florian Momm & Alexander Zureck, 2022. "Impact of the COVID-19 Pandemic Crisis on the Efficiency of European Intraday Electricity Markets," Energies, MDPI, vol. 15(10), pages 1-21, May.
  3. Neves, Diana & Scott, Ian & Silva, Carlos A., 2020. "Peer-to-peer energy trading potential: An assessment for the residential sector under different technology and tariff availabilities," Energy, Elsevier, vol. 205(C).
  4. Ieva Pakere & Armands Gravelsins & Girts Bohvalovs & Liga Rozentale & Dagnija Blumberga, 2021. "Will Aggregator Reduce Renewable Power Surpluses? A System Dynamics Approach for the Latvia Case Study," Energies, MDPI, vol. 14(23), pages 1-21, November.
  5. Mak, Davye & Choi, Dae-Hyun, 2020. "Optimization framework for coordinated operation of home energy management system and Volt-VAR optimization in unbalanced active distribution networks considering uncertainties," Applied Energy, Elsevier, vol. 276(C).
  6. Saavedra, Aldo & Negrete-Pincetic, Matias & Rodríguez, Rafael & Salgado, Marcelo & Lorca, Álvaro, 2022. "Flexible load management using flexibility bands," Applied Energy, Elsevier, vol. 317(C).
  7. Tang, Rui & Li, Hangxin & Wang, Shengwei, 2019. "A game theory-based decentralized control strategy for power demand management of building cluster using thermal mass and energy storage," Applied Energy, Elsevier, vol. 242(C), pages 809-820.
  8. Iria, José & Scott, Paul & Attarha, Ahmad, 2020. "Network-constrained bidding optimization strategy for aggregators of prosumers," Energy, Elsevier, vol. 207(C).
  9. Md. Mosaraf Hossain Khan & Amran Hossain & Aasim Ullah & Molla Shahadat Hossain Lipu & S. M. Shahnewaz Siddiquee & M. Shafiul Alam & Taskin Jamal & Hafiz Ahmed, 2021. "Integration of Large-Scale Electric Vehicles into Utility Grid: An Efficient Approach for Impact Analysis and Power Quality Assessment," Sustainability, MDPI, vol. 13(19), pages 1-18, October.
  10. Lu, Qing & Lü, Shuaikang & Leng, Yajun & Zhang, Zhixin, 2020. "Optimal household energy management based on smart residential energy hub considering uncertain behaviors," Energy, Elsevier, vol. 195(C).
  11. Debin Fang & Qiyu Ren & Qian Yu, 2018. "How Elastic Demand Affects Bidding Strategy in Electricity Market: An Auction Approach," Energies, MDPI, vol. 12(1), pages 1-13, December.
  12. Barbero, Mattia & Casals, Lluc Canals & Corchero, Cristina, 2020. "Comparison between economic and environmental drivers for demand side aggregator," Utilities Policy, Elsevier, vol. 65(C).
  13. Aghamohamadi, Mehrdad & Mahmoudi, Amin, 2019. "From bidding strategy in smart grid toward integrated bidding strategy in smart multi-energy systems, an adaptive robust solution approach," Energy, Elsevier, vol. 183(C), pages 75-91.
  14. Nizami, Sohrab & Tushar, Wayes & Hossain, M.J. & Yuen, Chau & Saha, Tapan & Poor, H. Vincent, 2022. "Transactive energy for low voltage residential networks: A review," Applied Energy, Elsevier, vol. 323(C).
  15. Okur, Özge & Heijnen, Petra & Lukszo, Zofia, 2021. "Aggregator’s business models in residential and service sectors: A review of operational and financial aspects," Renewable and Sustainable Energy Reviews, Elsevier, vol. 139(C).
  16. Subramanian, Vignesh & Das, Tapas K., 2019. "A two-layer model for dynamic pricing of electricity and optimal charging of electric vehicles under price spikes," Energy, Elsevier, vol. 167(C), pages 1266-1277.
  17. Hussain, I. & Ali, S.M. & Khan, B. & Ullah, Z. & Mehmood, C.A. & Jawad, M. & Farid, U. & Haider, A., 2019. "Stochastic Wind Energy Management Model within smart grid framework: A joint Bi-directional Service Level Agreement (SLA) between smart grid and Wind Energy District Prosumers," Renewable Energy, Elsevier, vol. 134(C), pages 1017-1033.
  18. Gao, Xian & Knueven, Bernard & Siirola, John D. & Miller, David C. & Dowling, Alexander W., 2022. "Multiscale simulation of integrated energy system and electricity market interactions," Applied Energy, Elsevier, vol. 316(C).
  19. Barbero, Mattia & Corchero, Cristina & Canals Casals, Lluc & Igualada, Lucia & Heredia, F.-Javier, 2020. "Critical evaluation of European balancing markets to enable the participation of Demand Aggregators," Applied Energy, Elsevier, vol. 264(C).
  20. Coelho, António & Iria, José & Soares, Filipe, 2021. "Network-secure bidding optimization of aggregators of multi-energy systems in electricity, gas, and carbon markets," Applied Energy, Elsevier, vol. 301(C).
  21. Benioudakis, Myron & Zissis, Dimitris & Burnetas, Apostolos & Ioannou, George, 2023. "Service provision on an aggregator platform with time-sensitive customers: Pricing strategies and coordination," International Journal of Production Economics, 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. Liu, Xin & Li, Yang & Lin, Xueshan & Guo, Jiqun & Shi, Yunpeng & Shen, Yunwei, 2022. "Dynamic bidding strategy for a demand response aggregator in the frequency regulation market," Applied Energy, Elsevier, vol. 314(C).
  24. Pan, Guangsheng & Gu, Wei & Wu, Zhi & Lu, Yuping & Lu, Shuai, 2019. "Optimal design and operation of multi-energy system with load aggregator considering nodal energy prices," Applied Energy, Elsevier, vol. 239(C), pages 280-295.
  25. Wang, Zibo & Dong, Lei & Shi, Mengjie & Qiao, Ji & Jia, Hongjie & Mu, Yunfei & Pu, Tianjiao, 2023. "Market power modeling and restraint of aggregated prosumers in peer-to-peer energy trading: A game-theoretic approach," Applied Energy, Elsevier, vol. 348(C).
  26. Lee, Minwoo & Han, Changho & Kwon, Soonbum & Kim, Yongchan, 2023. "Energy and cost savings through heat trading between two massive prosumers using solar and ground energy systems connected to district heating networks," Energy, Elsevier, vol. 284(C).
  27. Moghaddam, Saeed Zolfaghari & Akbari, Tohid, 2018. "Network-constrained optimal bidding strategy of a plug-in electric vehicle aggregator: A stochastic/robust game theoretic approach," Energy, Elsevier, vol. 151(C), pages 478-489.
  28. Daishi Sagawa & Kenji Tanaka & Fumiaki Ishida & Hideya Saito & Naoya Takenaga & Seigo Nakamura & Nobuaki Aoki & Misuzu Nameki & Kosuke Saegusa, 2021. "Bidding Agents for PV and Electric Vehicle-Owning Users in the Electricity P2P Trading Market," Energies, MDPI, vol. 14(24), pages 1-17, December.
  29. Zishan Guo & Zhenya Ji & Qi Wang, 2020. "Blockchain-Enabled Demand Response Scheme with Individualized Incentive Pricing Mode," Energies, MDPI, vol. 13(19), pages 1-17, October.
  30. Marszal-Pomianowska, Anna & Widén, Joakim & Le Dréau, Jérôme & Heiselberg, Per & Bak-Jensen, Birgitte & de Cerio Mendaza, Iker Diaz, 2020. "Operation of power distribution networks with new and flexible loads: A case of existing residential low voltage network," Energy, Elsevier, vol. 202(C).
  31. Roman V. Klyuev & Irbek D. Morgoev & Angelika D. Morgoeva & Oksana A. Gavrina & Nikita V. Martyushev & Egor A. Efremenkov & Qi Mengxu, 2022. "Methods of Forecasting Electric Energy Consumption: A Literature Review," Energies, MDPI, vol. 15(23), pages 1-33, November.
  32. Bohlayer, Markus & Fleschutz, Markus & Braun, Marco & Zöttl, Gregor, 2020. "Energy-intense production-inventory planning with participation in sequential energy markets," Applied Energy, Elsevier, vol. 258(C).
  33. Lee, Kuan-Cheng & Yang, Hong-Tzer & Tang, Wenjun, 2022. "Data-driven online interactive bidding strategy for demand response," Applied Energy, Elsevier, vol. 319(C).
  34. Xiao, Xiangsheng & Wang, Jianxiao & Lin, Rui & Hill, David J. & Kang, Chongqing, 2020. "Large-scale aggregation of prosumers toward strategic bidding in joint energy and regulation markets," Applied Energy, Elsevier, vol. 271(C).
  35. Wang, Yubin & Zheng, Yanchong & Yang, Qiang, 2023. "Nash bargaining based collaborative energy management for regional integrated energy systems in uncertain electricity markets," Energy, Elsevier, vol. 269(C).
  36. Maja Božičević Vrhovčak & Bruno Malbašić, 2023. "Unlocking the Value of Aggregated Demand Response: A Survey of European Electricity Markets," Energies, MDPI, vol. 16(17), pages 1-13, September.
  37. Yu, Dongmin & liu, Huanan & Bresser, Charis, 2018. "Peak load management based on hybrid power generation and demand response," Energy, Elsevier, vol. 163(C), pages 969-985.
  38. Wang, Yubin & Zheng, Yanchong & Yang, Qiang, 2023. "Optimal energy management of integrated energy systems for strategic participation in competitive electricity markets," Energy, Elsevier, vol. 278(PA).
  39. Seyedhossein, Seyed Saeed & Moeini-Aghtaie, Moein, 2022. "Risk management framework of peer-to-peer electricity markets," Energy, Elsevier, vol. 261(PB).
  40. Carlos Cruz & Esther Palomar & Ignacio Bravo & Alfredo Gardel, 2020. "Cooperative Demand Response Framework for a Smart Community Targeting Renewables: Testbed Implementation and Performance Evaluation," Energies, MDPI, vol. 13(11), pages 1-20, June.
  41. Iria, José & Heleno, Miguel & Cardoso, Gonçalo, 2019. "Optimal sizing and placement of energy storage systems and on-load tap changer transformers in distribution networks," Applied Energy, Elsevier, vol. 250(C), pages 1147-1157.
  42. Jun Dong & Dongran Liu & Xihao Dou & Bo Li & Shiyao Lv & Yuzheng Jiang & Tongtao Ma, 2021. "Key Issues and Technical Applications in the Study of Power Markets as the System Adapts to the New Power System in China," Sustainability, MDPI, vol. 13(23), pages 1-29, December.
  43. Nizami, M.S.H. & Hossain, M.J. & Amin, B.M. Ruhul & Fernandez, Edstan, 2020. "A residential energy management system with bi-level optimization-based bidding strategy for day-ahead bi-directional electricity trading," Applied Energy, Elsevier, vol. 261(C).
  44. Pied, Marie & Anjos, Miguel F. & Malhamé, Roland P., 2020. "A flexibility product for electric water heater aggregators on electricity markets," Applied Energy, Elsevier, vol. 280(C).
  45. 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.
  46. Lu, Xiaoxing & Li, Kangping & Xu, Hanchen & Wang, Fei & Zhou, Zhenyu & Zhang, Yagang, 2020. "Fundamentals and business model for resource aggregator of demand response in electricity markets," Energy, Elsevier, vol. 204(C).
  47. Máximo A. Domínguez-Garabitos & Víctor S. Ocaña-Guevara & Félix Santos-García & Adriana Arango-Manrique & Miguel Aybar-Mejía, 2022. "A Methodological Proposal for Implementing Demand-Shifting Strategies in the Wholesale Electricity Market," Energies, MDPI, vol. 15(4), pages 1-28, February.
  48. Paolo Taddeo & Alba Colet & Rafael E. Carrillo & Lluc Casals Canals & Baptiste Schubnel & Yves Stauffer & Ivan Bellanco & Cristina Corchero Garcia & Jaume Salom, 2020. "Management and Activation of Energy Flexibility at Building and Market Level: A Residential Case Study," Energies, MDPI, vol. 13(5), pages 1-18, March.
  49. Oprea, Simona-Vasilica & Bâra, Adela & Ciurea, Cristian-Eugen, 2022. "A novel cost-revenue allocation computation for the competitiveness of balancing responsible parties, including RES. Insights from the electricity market," Renewable Energy, Elsevier, vol. 199(C), pages 881-894.
  50. Antonio Jiménez-Marín & Juan Pérez-Ruiz, 2021. "A Robust Optimization Model to the Day-Ahead Operation of an Electric Vehicle Aggregator Providing Reliable Reserve," Energies, MDPI, vol. 14(22), pages 1-18, November.
  51. Specht, Jan Martin & Madlener, Reinhard, 2019. "Energy Supplier 2.0: A conceptual business model for energy suppliers aggregating flexible distributed assets and policy issues raised," Energy Policy, Elsevier, vol. 135(C).
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