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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. Oliveira, Fernando S. & Ruiz Mora, Carlos, 2023. "Risk management in solar-based power plants with storage: a comparative study," DES - Working Papers. Statistics and Econometrics. WS 38369, Universidad Carlos III de Madrid. Departamento de Estadística.
  3. 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.
  4. 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).
  5. 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.
  6. 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).
  7. 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.
  8. 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.
  9. 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).
  10. 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).
  11. 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.
  12. 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).
  13. 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).
  14. 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).
  15. 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.
  16. 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).
  17. 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.
  18. 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.
  19. Tapetado, Pablo & Usaola, Julio, 2019. "Capacity credits of wind and solar generation: The Spanish case," Renewable Energy, Elsevier, vol. 143(C), pages 164-175.
  20. 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.
  21. 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.
  22. 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.
  23. 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).
  24. 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.
  25. Fang, Yuchen & Zhao, Shuqiang, 2020. "Look-ahead bidding strategy for concentrating solar power plants with wind farms," Energy, Elsevier, vol. 203(C).
  26. 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).
  27. 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.
  28. 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.
  29. 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.
  30. 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.
  31. 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.
  32. 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.
  33. 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.
  34. 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.
  35. 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.
  36. 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.
  37. 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.
  38. 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.
  39. 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.
  40. 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.
  41. 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).
  42. 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.
  43. 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.
  44. 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).
  45. 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.
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