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Optimal offering strategy for a concentrating solar power plant

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  1. Rodríguez, I. & Pérez-Segarra, C.D. & Lehmkuhl, O. & Oliva, A., 2013. "Modular object-oriented methodology for the resolution of molten salt storage tanks for CSP plants," Applied Energy, Elsevier, vol. 109(C), pages 402-414.
  2. Olave-Rojas, David & Álvarez-Miranda, Eduardo, 2021. "Towards a complex investment evaluation framework for renewable energy systems: A 2-level heuristic approach," Energy, Elsevier, vol. 228(C).
  3. Joseph Oyekale & Mario Petrollese & Vittorio Tola & Giorgio Cau, 2020. "Impacts of Renewable Energy Resources on Effectiveness of Grid-Integrated Systems: Succinct Review of Current Challenges and Potential Solution Strategies," Energies, MDPI, vol. 13(18), pages 1-48, September.
  4. Wang, Anming & Liu, Jiping & Zhang, Shunqi & Liu, Ming & Yan, Junjie, 2020. "Steam generation system operation optimization in parabolic trough concentrating solar power plants under cloudy conditions," Applied Energy, Elsevier, vol. 265(C).
  5. Domínguez, R. & Conejo, A.J. & Carrión, M., 2014. "Operation of a fully renewable electric energy system with CSP plants," Applied Energy, Elsevier, vol. 119(C), pages 417-430.
  6. Baringo, Luis & Boffino, Luigi & Oggioni, Giorgia, 2020. "Robust expansion planning of a distribution system with electric vehicles, storage and renewable units," Applied Energy, Elsevier, vol. 265(C).
  7. Sun, Shitong & Kazemi-Razi, S. Mahdi & Kaigutha, Lisa G. & Marzband, Mousa & Nafisi, Hamed & Al-Sumaiti, Ameena Saad, 2022. "Day-ahead offering strategy in the market for concentrating solar power considering thermoelectric decoupling by a compressed air energy storage," Applied Energy, Elsevier, vol. 305(C).
  8. Mahmoudimehr, Javad & Sebghati, Parvin, 2019. "A novel multi-objective Dynamic Programming optimization method: Performance management of a solar thermal power plant as a case study," Energy, Elsevier, vol. 168(C), pages 796-814.
  9. Tapetado, Pablo & Usaola, Julio, 2019. "Capacity credits of wind and solar generation: The Spanish case," Renewable Energy, Elsevier, vol. 143(C), pages 164-175.
  10. Martinek, Janna & Jorgenson, Jennie & Mehos, Mark & Denholm, Paul, 2018. "A comparison of price-taker and production cost models for determining system value, revenue, and scheduling of concentrating solar power plants," Applied Energy, Elsevier, vol. 231(C), pages 854-865.
  11. Segarra-Tamarit, Jorge & Pérez, Emilio & Moya, Eric & Ayuso, Pablo & Beltran, Hector, 2021. "Deep learning-based forecasting of aggregated CSP production," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 184(C), pages 306-318.
  12. Yang, Peiwen & Dong, Jun & Lin, Jin & Liu, Yao & Fang, Debin, 2021. "Analysis of offering behavior of generation-side integrated energy aggregator in electricity market:A Bayesian evolutionary approach," Energy, Elsevier, vol. 228(C).
  13. Pousinho, H.M.I. & Esteves, J. & Mendes, V.M.F. & Collares-Pereira, M. & Pereira Cabrita, C., 2016. "Bilevel approach to wind-CSP day-ahead scheduling with spinning reserve under controllable degree of trust," Renewable Energy, Elsevier, vol. 85(C), pages 917-927.
  14. Li, Yixin & Li, Zhengshuo, 2025. "A novel risk-averse multi-energy Management for Effective Offering Strategy of integrated energy production units in a real-time electricity market," Applied Energy, Elsevier, vol. 377(PA).
  15. Fang, Yuchen & Zhao, Shuqiang, 2020. "Look-ahead bidding strategy for concentrating solar power plants with wind farms," Energy, Elsevier, vol. 203(C).
  16. Khalili, Reza & Khaledi, Arian & Marzband, Mousa & Nematollahi, Amin Foroughi & Vahidi, Behrooz & Siano, Pierluigi, 2023. "Robust multi-objective optimization for the Iranian electricity market considering green hydrogen and analyzing the performance of different demand response programs," Applied Energy, Elsevier, vol. 334(C).
  17. Vasallo, Manuel Jesús & Cojocaru, Emilian Gelu & Gegúndez, Manuel Emilio & Marín, Diego, 2021. "Application of data-based solar field models to optimal generation scheduling in concentrating solar power plants," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 190(C), pages 1130-1149.
  18. Pandžić, Hrvoje & Morales, Juan M. & Conejo, Antonio J. & Kuzle, Igor, 2013. "Offering model for a virtual power plant based on stochastic programming," Applied Energy, Elsevier, vol. 105(C), pages 282-292.
  19. Du, Ershun & Zhang, Ning & Hodge, Bri-Mathias & Kang, Chongqing & Kroposki, Benjamin & Xia, Qing, 2018. "Economic justification of concentrating solar power in high renewable energy penetrated power systems," Applied Energy, Elsevier, vol. 222(C), pages 649-661.
  20. Cojocaru, Emilian Gelu & Bravo, José Manuel & Vasallo, Manuel Jesús & Santos, Diego Marín, 2019. "Optimal scheduling in concentrating solar power plants oriented to low generation cycling," Renewable Energy, Elsevier, vol. 135(C), pages 789-799.
  21. 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).
  22. repec:cte:wsrepe:38369 is not listed on IDEAS
  23. Sedzro, Kwami Senam A. & Kishore, Shalinee & Lamadrid, Alberto J. & Zuluaga, Luis F., 2018. "Stochastic risk-sensitive market integration for renewable energy: Application to ocean wave power plants," Applied Energy, Elsevier, vol. 229(C), pages 474-481.
  24. Xianhua Gao & Shangshang Wei & Chunlin Xia & Yiguo Li, 2022. "Flexible Operation of Concentrating Solar Power Plant with Thermal Energy Storage Based on a Coordinated Control Strategy," Energies, MDPI, vol. 15(13), pages 1-16, July.
  25. McPherson, Madeleine & Mehos, Mark & Denholm, Paul, 2020. "Leveraging concentrating solar power plant dispatchability: A review of the impacts of global market structures and policy," Energy Policy, Elsevier, vol. 139(C).
  26. Corgnale, Claudio & Hardy, Bruce & Motyka, Theodore & Zidan, Ragaiy & Teprovich, Joseph & Peters, Brent, 2014. "Screening analysis of metal hydride based thermal energy storage systems for concentrating solar power plants," Renewable and Sustainable Energy Reviews, Elsevier, vol. 38(C), pages 821-833.
  27. Khaloie, Hooman & Anvari-Moghaddam, Amjad & Contreras, Javier & Siano, Pierluigi, 2021. "Risk-involved optimal operating strategy of a hybrid power generation company: A mixed interval-CVaR model," Energy, Elsevier, vol. 232(C).
  28. Xiong, Houbo & Yan, Mingyu & Guo, Chuangxin & Ding, Yi & Zhou, Yue, 2023. "DP based multi-stage ARO for coordinated scheduling of CSP and wind energy with tractable storage scheme: Tight formulation and solution technique," Applied Energy, Elsevier, vol. 333(C).
  29. Xiao, Xiangsheng & Wang, JianXiao & Hill, David J., 2022. "Impact of Large-scale concentrated solar power on energy and auxiliary markets," Applied Energy, Elsevier, vol. 318(C).
  30. Wu, Yunna & Geng, Shuai & Zhang, Haobo & Gao, Min, 2014. "Decision framework of solar thermal power plant site selection based on linguistic Choquet operator," Applied Energy, Elsevier, vol. 136(C), pages 303-311.
  31. Salehizadeh, Mohammad Reza & Soltaniyan, Salman, 2016. "Application of fuzzy Q-learning for electricity market modeling by considering renewable power penetration," Renewable and Sustainable Energy Reviews, Elsevier, vol. 56(C), pages 1172-1181.
  32. Wang, Jianxiao & Zhong, Haiwang & Tang, Wenyuan & Rajagopal, Ram & Xia, Qing & Kang, Chongqing & Wang, Yi, 2017. "Optimal bidding strategy for microgrids in joint energy and ancillary service markets considering flexible ramping products," Applied Energy, Elsevier, vol. 205(C), pages 294-303.
  33. Dowling, Alexander W. & Kumar, Ranjeet & Zavala, Victor M., 2017. "A multi-scale optimization framework for electricity market participation," Applied Energy, Elsevier, vol. 190(C), pages 147-164.
  34. Mohsen Jalalimajidi & SM Seyedhosseini & Ahmad Makui & Masoud Babakhani, 2018. "Developing a comprehensive model for new energy replacement in the country’s development program using a robust optimization approach," Energy & Environment, , vol. 29(6), pages 868-890, September.
  35. Ana Carolina do Amaral Burghi & Tobias Hirsch & Robert Pitz-Paal, 2020. "Artificial Learning Dispatch Planning for Flexible Renewable-Energy Systems," Energies, MDPI, vol. 13(6), pages 1-21, March.
  36. Vasallo, Manuel Jesús & Bravo, José Manuel, 2016. "A MPC approach for optimal generation scheduling in CSP plants," Applied Energy, Elsevier, vol. 165(C), pages 357-370.
  37. Pousinho, H.M.I. & Silva, H. & Mendes, V.M.F. & Collares-Pereira, M. & Pereira Cabrita, C., 2014. "Self-scheduling for energy and spinning reserve of wind/CSP plants by a MILP approach," Energy, Elsevier, vol. 78(C), pages 524-534.
  38. Adarsh Vaderobli & Dev Parikh & Urmila Diwekar, 2020. "Optimization under Uncertainty to Reduce the Cost of Energy for Parabolic Trough Solar Power Plants for Different Weather Conditions," Energies, MDPI, vol. 13(12), pages 1-17, June.
  39. Mostafa Nasouri Gilvaei & Mahmood Hosseini Imani & Mojtaba Jabbari Ghadi & Li Li & Anahita Golrang, 2021. "Profit-Based Unit Commitment for a GENCO Equipped with Compressed Air Energy Storage and Concentrating Solar Power Units," Energies, MDPI, vol. 14(3), pages 1-20, January.
  40. Matea Vidan & Fabio D’andreagiovanni & Hrvoje Pandzic, 2021. "Individual Thermal Generator and Battery Storage Bidding Strategies Based on Robust Optimization," Post-Print hal-03522241, HAL.
  41. Mohammadi, Kasra & Goudarzi, Navid, 2018. "Association of direct normal irradiance with El Niño Southern Oscillation and its consequence on concentrated solar power production in the US Southwest," Applied Energy, Elsevier, vol. 212(C), pages 1126-1137.
  42. Dowling, Alexander W. & Zheng, Tian & Zavala, Victor M., 2017. "Economic assessment of concentrated solar power technologies: A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 72(C), pages 1019-1032.
  43. Suárez, Christian & Iranzo, Alfredo & Pino, F.J. & Guerra, J., 2015. "Transient analysis of the cooling process of molten salt thermal storage tanks due to standby heat loss," Applied Energy, Elsevier, vol. 142(C), pages 56-65.
  44. Lima, Ricardo M. & Novais, Augusto Q. & Conejo, Antonio J., 2015. "Weekly self-scheduling, forward contracting, and pool involvement for an electricity producer. An adaptive robust optimization approach," European Journal of Operational Research, Elsevier, vol. 240(2), pages 457-475.
  45. Ana Carolina do Amaral Burghi & Tobias Hirsch & Robert Pitz-Paal, 2020. "Artificial Learning Dispatch Planning with Probabilistic Forecasts: Using Uncertainties as an Asset," Energies, MDPI, vol. 13(3), pages 1-25, February.
  46. Kahvecioğlu, Gökçe & Morton, David P. & Wagner, Michael J., 2022. "Dispatch optimization of a concentrating solar power system under uncertain solar irradiance and energy prices," Applied Energy, Elsevier, vol. 326(C).
  47. Wafa Nafkha-Tayari & Seifeddine Ben Elghali & Ehsan Heydarian-Forushani & Mohamed Benbouzid, 2022. "Virtual Power Plants Optimization Issue: A Comprehensive Review on Methods, Solutions, and Prospects," Energies, MDPI, vol. 15(10), pages 1-20, May.
  48. Zare, Alireza & Shafie-khah, Miadreza & Siano, Pierluigi & Lazaroiu, George Cristian, 2026. "A systematic review of Virtual Power Plant configurations and their interaction with electricity, carbon, and flexibility markets," Renewable and Sustainable Energy Reviews, Elsevier, vol. 226(PD).
  49. Zhang, Ning & Yu, Yanghao & Wu, Jiawei & Du, Ershun & Zhang, Shuming & Xiao, Jinyu, 2024. "Optimal configuration of concentrating solar power generation in power system with high share of renewable energy resources," Renewable Energy, Elsevier, vol. 220(C).
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