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Unit commitment for systems with significant wind penetration

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  1. Després, Jacques & Hadjsaid, Nouredine & Criqui, Patrick & Noirot, Isabelle, 2015. "Modelling the impacts of variable renewable sources on the power sector: Reconsidering the typology of energy modelling tools," Energy, Elsevier, vol. 80(C), pages 486-495.
  2. Ikegami, Takashi & Urabe, Chiyori T. & Saitou, Tetsuo & Ogimoto, Kazuhiko, 2018. "Numerical definitions of wind power output fluctuations for power system operations," Renewable Energy, Elsevier, vol. 115(C), pages 6-15.
  3. Yonghan Feng & Sarah M. Ryan, 2016. "Solution sensitivity-based scenario reduction for stochastic unit commitment," Computational Management Science, Springer, vol. 13(1), pages 29-62, January.
  4. Hongxia Liu & Huiling Wang & Zongtang Xie, 2019. "Wind utilization and carbon emissions equilibrium: Scheduling strategy for wind-thermal generation system," Energy & Environment, , vol. 30(6), pages 1111-1131, September.
  5. Zepter, Jan Martin & Weibezahn, Jens, 2019. "Unit commitment under imperfect foresight – The impact of stochastic photovoltaic generation," Applied Energy, Elsevier, vol. 243(C), pages 336-349.
  6. Vithayasrichareon, Peerapat & MacGill, Iain F., 2013. "Assessing the value of wind generation in future carbon constrained electricity industries," Energy Policy, Elsevier, vol. 53(C), pages 400-412.
  7. Benjamin Böcker & Robin Leisen & Christoph Weber, "undated". "Optimal capacity adjustments in electricity market models – an iterative approach based on operational margins and the relevant supply stack," EWL Working Papers 1806, University of Duisburg-Essen, Chair for Management Science and Energy Economics.
  8. Osório, G.J. & Lujano-Rojas, J.M. & Matias, J.C.O. & Catalão, J.P.S., 2015. "A probabilistic approach to solve the economic dispatch problem with intermittent renewable energy sources," Energy, Elsevier, vol. 82(C), pages 949-959.
  9. Hong, Tao & Pinson, Pierre & Fan, Shu, 2014. "Global Energy Forecasting Competition 2012," International Journal of Forecasting, Elsevier, vol. 30(2), pages 357-363.
  10. Jae-Kun Lyu & Jae-Haeng Heo & Jong-Keun Park & Yong-Cheol Kang, 2013. "Probabilistic Approach to Optimizing Active and Reactive Power Flow in Wind Farms Considering Wake Effects," Energies, MDPI, vol. 6(11), pages 1-21, October.
  11. Ziqi Zhang & Zhong Chen & Qi Zhao & Puliang Du, 2021. "Multi-Level Cooperative Scheduling Based on Robust Optimization Considering Flexibilities and Uncertainties of ADN and MG," Energies, MDPI, vol. 14(21), pages 1-23, November.
  12. Marshman, Daniel & Brear, Michael & Jeppesen, Matthew & Ring, Brendan, 2020. "Performance of wholesale electricity markets with high wind penetration," Energy Economics, Elsevier, vol. 89(C).
  13. Xenophon, Aleksis Kazubiernis & Hill, David John, 2020. "Adaptive mechanisms to refund emissions payments," Applied Energy, Elsevier, vol. 278(C).
  14. Jennifer Dinter & Steffen Rebennack & Josef Kallrath & Paul Denholm & Alexandra Newman, 2013. "The unit commitment model with concave emissions costs: a hybrid Benders’ Decomposition with nonconvex master problems," Annals of Operations Research, Springer, vol. 210(1), pages 361-386, November.
  15. Thure Traber & Claudia Kemfert, 2012. "Vom Winde verweht? Strommarktpreise und Anreize zur Investition in thermische Kraftwerke bei erhöhtem Angebot an Windenergie," Vierteljahrshefte zur Wirtschaftsforschung / Quarterly Journal of Economic Research, DIW Berlin, German Institute for Economic Research, vol. 81(1), pages 91-110.
  16. repec:dui:wpaper:1305 is not listed on IDEAS
  17. Salci, Sener & Jenkins, Glenn, 2016. "An Economic and Stakeholder Analysis for the Design of IPP Contracts for Wind Farms," MPRA Paper 70578, University Library of Munich, Germany.
  18. Tong Guo & Yajing Gao & Xiaojie Zhou & Yonggang Li & Jiaomin Liu, 2018. "Optimal Scheduling of Power System Incorporating the Flexibility of Thermal Units," Energies, MDPI, vol. 11(9), pages 1-17, August.
  19. Higgins, P. & Foley, A.M. & Douglas, R. & Li, K., 2014. "Impact of offshore wind power forecast error in a carbon constraint electricity market," Energy, Elsevier, vol. 76(C), pages 187-197.
  20. De Vos, K. & Stevens, N. & Devolder, O. & Papavasiliou, A. & Hebb, B. & Matthys-Donnadieu, J., 2019. "Dynamic dimensioning approach for operating reserves: Proof of concept in Belgium," Energy Policy, Elsevier, vol. 124(C), pages 272-285.
  21. Hao Chen & Chi Kong Chyong & Jia-Ning Kang & Yi-Ming Wei, 2018. "Economic dispatch in the electricity sector in China: potential benefits and challenges ahead," Working Papers EPRG 1819, Energy Policy Research Group, Cambridge Judge Business School, University of Cambridge.
  22. 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.
  23. Jacques Després, 2015. "Development of a dispatch model of the European power system for coupling with a long-term foresight energy model," Working Papers hal-01245554, HAL.
  24. de Groot, Mats & Crijns-Graus, Wina & Harmsen, Robert, 2017. "The effects of variable renewable electricity on energy efficiency and full load hours of fossil-fired power plants in the European Union," Energy, Elsevier, vol. 138(C), pages 575-589.
  25. A Sturt & G Strbac, 2012. "Value of stochastic reserve policies in low-carbon power systems," Journal of Risk and Reliability, , vol. 226(1), pages 51-64, February.
  26. Devine, Mel T. & Bertsch, Valentin, 2018. "Examining the benefits of load shedding strategies using a rolling-horizon stochastic mixed complementarity equilibrium model," European Journal of Operational Research, Elsevier, vol. 267(2), pages 643-658.
  27. Barbaro, Marco & Castro, Rui, 2020. "Design optimisation for a hybrid renewable microgrid: Application to the case of Faial island, Azores archipelago," Renewable Energy, Elsevier, vol. 151(C), pages 434-445.
  28. Sahin, Cem & Shahidehpour, Mohammad & Erkmen, Ismet, 2012. "Generation risk assessment in volatile conditions with wind, hydro, and natural gas units," Applied Energy, Elsevier, vol. 96(C), pages 4-11.
  29. Wang, Bo & Zhou, Min & Xin, Bo & Zhao, Xin & Watada, Junzo, 2019. "Analysis of operation cost and wind curtailment using multi-objective unit commitment with battery energy storage," Energy, Elsevier, vol. 178(C), pages 101-114.
  30. Hirth, Lion & Ueckerdt, Falko & Edenhofer, Ottmar, 2015. "Integration costs revisited – An economic framework for wind and solar variability," Renewable Energy, Elsevier, vol. 74(C), pages 925-939.
  31. Bingke Yan & Bo Wang & Lin Zhu & Hesen Liu & Yilu Liu & Xingpei Ji & Dichen Liu, 2015. "A Novel, Stable, and Economic Power Sharing Scheme for an Autonomous Microgrid in the Energy Internet," Energies, MDPI, vol. 8(11), pages 1-24, November.
  32. Kiviluoma, Juha & Meibom, Peter, 2011. "Methodology for modelling plug-in electric vehicles in the power system and cost estimates for a system with either smart or dumb electric vehicles," Energy, Elsevier, vol. 36(3), pages 1758-1767.
  33. Felten, Björn, 2020. "An integrated model of coupled heat and power sectors for large-scale energy system analyses," Applied Energy, Elsevier, vol. 266(C).
  34. Tim Felling & Christoph Weber, 2017. "Consistent and robust delimitation of price zones under uncertainty with an application to Central Western Europe," EWL Working Papers 1706, University of Duisburg-Essen, Chair for Management Science and Energy Economics, revised Jun 2017.
  35. Owen Q. Wu & Roman Kapuscinski, 2013. "Curtailing Intermittent Generation in Electrical Systems," Manufacturing & Service Operations Management, INFORMS, vol. 15(4), pages 578-595, October.
  36. Álvaro Lorca & X. Andy Sun & Eugene Litvinov & Tongxin Zheng, 2016. "Multistage Adaptive Robust Optimization for the Unit Commitment Problem," Operations Research, INFORMS, vol. 64(1), pages 32-51, February.
  37. Mc Garrigle, E.V. & Leahy, P.G., 2015. "Quantifying the value of improved wind energy forecasts in a pool-based electricity market," Renewable Energy, Elsevier, vol. 80(C), pages 517-524.
  38. Simoglou, Christos K. & Kardakos, Evaggelos G. & Bakirtzis, Emmanouil A. & Chatzigiannis, Dimitris I. & Vagropoulos, Stylianos I. & Ntomaris, Andreas V. & Biskas, Pandelis N. & Gigantidou, Antiopi & T, 2014. "An advanced model for the efficient and reliable short-term operation of insular electricity networks with high renewable energy sources penetration," Renewable and Sustainable Energy Reviews, Elsevier, vol. 38(C), pages 415-427.
  39. Hemmati, Reza & Saboori, Hedayat & Saboori, Saeid, 2016. "Assessing wind uncertainty impact on short term operation scheduling of coordinated energy storage systems and thermal units," Renewable Energy, Elsevier, vol. 95(C), pages 74-84.
  40. David Schönheit & Dominik Möst, 2019. "The Effect of Offshore Wind Capacity Expansion on Uncertainties in Germany’s Day-Ahead Wind Energy Forecasts," Energies, MDPI, vol. 12(13), pages 1-23, July.
  41. Camal, S. & Teng, F. & Michiorri, A. & Kariniotakis, G. & Badesa, L., 2019. "Scenario generation of aggregated Wind, Photovoltaics and small Hydro production for power systems applications," Applied Energy, Elsevier, vol. 242(C), pages 1396-1406.
  42. Katrin Trepper & Michael Bucksteeg & Christoph Weber, 2013. "An integrated approach to model redispatch and to assess potential benefits from market splitting in Germany," EWL Working Papers 1319, University of Duisburg-Essen, Chair for Management Science and Energy Economics, revised Apr 2014.
  43. Hermans, Mathias & Bruninx, Kenneth & Delarue, Erik, 2020. "Impact of generator start-up lead times on short-term scheduling with high shares of renewables," Applied Energy, Elsevier, vol. 268(C).
  44. Gokturk Poyrazoglu & HyungSeon Oh, 2019. "Co-optimization of Transmission Maintenance Scheduling and Production Cost Minimization," Energies, MDPI, vol. 12(15), pages 1-18, July.
  45. Hermans, Mathias & Bruninx, Kenneth & Van den Bergh, Kenneth & Poncelet, Kris & Delarue, Erik, 2021. "On the temporal granularity of joint energy-reserve markets in a high-RES system," Applied Energy, Elsevier, vol. 297(C).
  46. Lin, Jin & Sun, Yuan-zhang & Cheng, Lin & Gao, Wen-zhong, 2012. "Assessment of the power reduction of wind farms under extreme wind condition by a high resolution simulation model," Applied Energy, Elsevier, vol. 96(C), pages 21-32.
  47. Traber, Thure & Kemfert, Claudia, 2011. "Gone with the wind? -- Electricity market prices and incentives to invest in thermal power plants under increasing wind energy supply," Energy Economics, Elsevier, vol. 33(2), pages 249-256, March.
  48. Aghaei, Jamshid & Nikoobakht, Ahmad & Siano, Pierluigi & Nayeripour, Majid & Heidari, Alireza & Mardaneh, Mohammad, 2016. "Exploring the reliability effects on the short term AC security-constrained unit commitment: A stochastic evaluation," Energy, Elsevier, vol. 114(C), pages 1016-1032.
  49. Wang, Bo & Wang, Shuming & Zhou, Xianzhong & Watada, Junzo, 2016. "Multi-objective unit commitment with wind penetration and emission concerns under stochastic and fuzzy uncertainties," Energy, Elsevier, vol. 111(C), pages 18-31.
  50. Komiyama, Ryoichi & Fujii, Yasumasa, 2019. "Optimal integration assessment of solar PV in Japan’s electric power grid," Renewable Energy, Elsevier, vol. 139(C), pages 1012-1028.
  51. Shin, Joohyun & Lee, Jay H. & Realff, Matthew J., 2017. "Operational planning and optimal sizing of microgrid considering multi-scale wind uncertainty," Applied Energy, Elsevier, vol. 195(C), pages 616-633.
  52. Haas, J. & Cebulla, F. & Cao, K. & Nowak, W. & Palma-Behnke, R. & Rahmann, C. & Mancarella, P., 2017. "Challenges and trends of energy storage expansion planning for flexibility provision in low-carbon power systems – a review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 80(C), pages 603-619.
  53. Nyamdash, Batsaikhan & Denny, Eleanor, 2013. "The impact of electricity storage on wholesale electricity prices," Energy Policy, Elsevier, vol. 58(C), pages 6-16.
  54. Trepper, Katrin & Bucksteeg, Michael & Weber, Christoph, 2015. "Market splitting in Germany – New evidence from a three-stage numerical model of Europe," Energy Policy, Elsevier, vol. 87(C), pages 199-215.
  55. Johnson, Samuel C. & Papageorgiou, Dimitri J. & Mallapragada, Dharik S. & Deetjen, Thomas A. & Rhodes, Joshua D. & Webber, Michael E., 2019. "Evaluating rotational inertia as a component of grid reliability with high penetrations of variable renewable energy," Energy, Elsevier, vol. 180(C), pages 258-271.
  56. Moradi, Jalal & Shahinzadeh, Hossein & Khandan, Amirsalar & Moazzami, Majid, 2017. "A profitability investigation into the collaborative operation of wind and underwater compressed air energy storage units in the spot market," Energy, Elsevier, vol. 141(C), pages 1779-1794.
  57. Jahns, Christopher & Podewski, Caroline & Weber, Christoph, 2020. "Supply curves for hydro reservoirs – Estimation and usage in large-scale electricity market models," Energy Economics, Elsevier, vol. 87(C).
  58. Esmaeily, Ali & Ahmadi, Abdollah & Raeisi, Fatima & Ahmadi, Mohammad Reza & Esmaeel Nezhad, Ali & Janghorbani, Mohammadreza, 2017. "Evaluating the effectiveness of mixed-integer linear programming for day-ahead hydro-thermal self-scheduling considering price uncertainty and forced outage rate," Energy, Elsevier, vol. 122(C), pages 182-193.
  59. Arash Gourtani & Huifu Xu & David Pozo & Tri-Dung Nguyen, 2016. "Robust unit commitment with $$n-1$$ n - 1 security criteria," Mathematical Methods of Operations Research, Springer;Gesellschaft für Operations Research (GOR);Nederlands Genootschap voor Besliskunde (NGB), vol. 83(3), pages 373-408, June.
  60. Jeppesen, M. & Brear, M.J. & Chattopadhyay, D. & Manzie, C. & Dargaville, R. & Alpcan, T., 2016. "Least cost, utility scale abatement from Australia's NEM (National Electricity Market). Part 1: Problem formulation and modelling," Energy, Elsevier, vol. 101(C), pages 606-620.
  61. Bistline, John E., 2017. "Economic and technical challenges of flexible operations under large-scale variable renewable deployment," Energy Economics, Elsevier, vol. 64(C), pages 363-372.
  62. Ying-Yi Hong & Gerard Francesco DG. Apolinario, 2021. "Uncertainty in Unit Commitment in Power Systems: A Review of Models, Methods, and Applications," Energies, MDPI, vol. 14(20), pages 1-47, October.
  63. Xiaohua Zhang & Jun Xie & Zhengwei Zhu & Jianfeng Zheng & Hao Qiang & Hailong Rong, 2016. "Smart Grid Cost-Emission Unit Commitment via Co-Evolutionary Agents," Energies, MDPI, vol. 9(10), pages 1-13, October.
  64. He, Hongjie & Du, Ershun & Zhang, Ning & Kang, Chongqing & Wang, Xuebin, 2021. "Enhancing the power grid flexibility with battery energy storage transportation and transmission switching," Applied Energy, Elsevier, vol. 290(C).
  65. Hodge, Bri-Mathias & Brancucci Martinez-Anido, Carlo & Wang, Qin & Chartan, Erol & Florita, Anthony & Kiviluoma, Juha, 2018. "The combined value of wind and solar power forecasting improvements and electricity storage," Applied Energy, Elsevier, vol. 214(C), pages 1-15.
  66. Hirth, Lion & Ziegenhagen, Inka, 2015. "Balancing power and variable renewables: Three links," Renewable and Sustainable Energy Reviews, Elsevier, vol. 50(C), pages 1035-1051.
  67. Spiecker, Stephan & Weber, Christoph, 2014. "The future of the European electricity system and the impact of fluctuating renewable energy – A scenario analysis," Energy Policy, Elsevier, vol. 65(C), pages 185-197.
  68. Xinxin Zhu & Marc Genton & Yingzhong Gu & Le Xie, 2014. "Space-time wind speed forecasting for improved power system dispatch," TEST: An Official Journal of the Spanish Society of Statistics and Operations Research, Springer;Sociedad de Estadística e Investigación Operativa, vol. 23(1), pages 1-25, March.
  69. Meng, Fanyi & Bai, Yang & Jin, Jingliang, 2021. "An advanced real-time dispatching strategy for a distributed energy system based on the reinforcement learning algorithm," Renewable Energy, Elsevier, vol. 178(C), pages 13-24.
  70. Tuohy, A. & O'Malley, M., 2011. "Pumped storage in systems with very high wind penetration," Energy Policy, Elsevier, vol. 39(4), pages 1965-1974, April.
  71. Ommen, Torben & Markussen, Wiebke Brix & Elmegaard, Brian, 2014. "Comparison of linear, mixed integer and non-linear programming methods in energy system dispatch modelling," Energy, Elsevier, vol. 74(C), pages 109-118.
  72. Spiecker, Stephan & Vogel, Philip & Weber, Christoph, 2013. "Evaluating interconnector investments in the north European electricity system considering fluctuating wind power penetration," Energy Economics, Elsevier, vol. 37(C), pages 114-127.
  73. Gi-Ho Lee & Jae-Young Park & Seung-Jun Ham & Young-Jin Kim, 2020. "Comparative Study on Optimization Solvers for Implementation of a Two-Stage Economic Dispatch Strategy in a Microgrid Energy Management System," Energies, MDPI, vol. 13(5), pages 1-21, March.
  74. Heejung Park, 2022. "A Unit Commitment Model Considering Feasibility of Operating Reserves under Stochastic Optimization Framework," Energies, MDPI, vol. 15(17), pages 1-22, August.
  75. Atakan, Semih & Gangammanavar, Harsha & Sen, Suvrajeet, 2022. "Towards a sustainable power grid: Stochastic hierarchical planning for high renewable integration," European Journal of Operational Research, Elsevier, vol. 302(1), pages 381-391.
  76. Brouwer, Anne Sjoerd & van den Broek, Machteld & Özdemir, Özge & Koutstaal, Paul & Faaij, André, 2016. "Business case uncertainty of power plants in future energy systems with wind power," Energy Policy, Elsevier, vol. 89(C), pages 237-256.
  77. Yonghan Feng & Sarah Ryan, 2016. "Solution sensitivity-based scenario reduction for stochastic unit commitment," Computational Management Science, Springer, vol. 13(1), pages 29-62, January.
  78. Wolf-Peter Schill & Michael Pahle & Christian Gambardella, 2016. "On Start-up Costs of Thermal Power Plants in Markets with Increasing Shares of Fluctuating Renewables," Discussion Papers of DIW Berlin 1540, DIW Berlin, German Institute for Economic Research.
  79. Ilias G. Marneris & Pandelis N. Biskas & Anastasios G. Bakirtzis, 2017. "Stochastic and Deterministic Unit Commitment Considering Uncertainty and Variability Reserves for High Renewable Integration," Energies, MDPI, vol. 10(1), pages 1-25, January.
  80. Lujano-Rojas, J.M. & Osório, G.J. & Matias, J.C.O. & Catalão, J.P.S., 2016. "A heuristic methodology to economic dispatch problem incorporating renewable power forecasting error and system reliability," Renewable Energy, Elsevier, vol. 87(P1), pages 731-743.
  81. Andrychowicz, Mateusz & Olek, Blazej & Przybylski, Jakub, 2017. "Review of the methods for evaluation of renewable energy sources penetration and ramping used in the Scenario Outlook and Adequacy Forecast 2015. Case study for Poland," Renewable and Sustainable Energy Reviews, Elsevier, vol. 74(C), pages 703-714.
  82. Jiafu Yin & Dongmei Zhao, 2018. "Fuzzy Stochastic Unit Commitment Model with Wind Power and Demand Response under Conditional Value-At-Risk Assessment," Energies, MDPI, vol. 11(2), pages 1-18, February.
  83. Ricardo Bessa & Carlos Moreira & Bernardo Silva & Manuel Matos, 2014. "Handling renewable energy variability and uncertainty in power systems operation," Wiley Interdisciplinary Reviews: Energy and Environment, Wiley Blackwell, vol. 3(2), pages 156-178, March.
  84. Connolly, D. & Lund, H. & Mathiesen, B.V. & Leahy, M., 2010. "A review of computer tools for analysing the integration of renewable energy into various energy systems," Applied Energy, Elsevier, vol. 87(4), pages 1059-1082, April.
  85. Jan Abrell & Friedrich Kunz, 2015. "Integrating Intermittent Renewable Wind Generation - A Stochastic Multi-Market Electricity Model for the European Electricity Market," Networks and Spatial Economics, Springer, vol. 15(1), pages 117-147, March.
  86. Govind Joshi & Salman Mohagheghi, 2021. "Optimal Operation of Combined Energy and Water Systems for Community Resilience against Natural Disasters," Energies, MDPI, vol. 14(19), pages 1-19, September.
  87. Simoglou, Christos K. & Bakirtzis, Emmanouil A. & Biskas, Pandelis N. & Bakirtzis, Anastasios G., 2016. "Optimal operation of insular electricity grids under high RES penetration," Renewable Energy, Elsevier, vol. 86(C), pages 1308-1316.
  88. Hao Yu & Yibo Wang & Chuang Liu & Shunjiang Wang & Chunyang Hao & Jian Xiong, 2024. "Optimization and Scheduling Method for Power Systems Considering Wind Power Forward/Reverse Peaking Scenarios," Energies, MDPI, vol. 17(5), pages 1-18, March.
  89. Lin, Jin & Cheng, Lin & Chang, Yao & Zhang, Kai & Shu, Bin & Liu, Guangyi, 2014. "Reliability based power systems planning and operation with wind power integration: A review to models, algorithms and applications," Renewable and Sustainable Energy Reviews, Elsevier, vol. 31(C), pages 921-934.
  90. Abdul Rauf & Mahmoud Kassas & Muhammad Khalid, 2022. "Data-Driven Optimal Battery Storage Sizing for Grid-Connected Hybrid Distributed Generations Considering Solar and Wind Uncertainty," Sustainability, MDPI, vol. 14(17), pages 1-27, September.
  91. Moghimi Ghadikolaei, Hadi & Ahmadi, Abdollah & Aghaei, Jamshid & Najafi, Meysam, 2012. "Risk constrained self-scheduling of hydro/wind units for short term electricity markets considering intermittency and uncertainty," Renewable and Sustainable Energy Reviews, Elsevier, vol. 16(7), pages 4734-4743.
  92. Christopher Jahns & Caroline Podewski & Christoph Weber, "undated". "Supply Curves for Hydro Reservoirs - Estimation and Usage in Large-Scale Electricity Market Models," EWL Working Papers 1901, University of Duisburg-Essen, Chair for Management Science and Energy Economics.
  93. Li Han & Rongchang Zhang & Xuesong Wang & Yu Dong, 2018. "Multi-Time Scale Rolling Economic Dispatch for Wind/Storage Power System Based on Forecast Error Feature Extraction," Energies, MDPI, vol. 11(8), pages 1-27, August.
  94. Troy, Niamh & Denny, Eleanor & O'Malley, Mark, 2010. "Base-load cycling on a system with significant wind penetration," MPRA Paper 34848, University Library of Munich, Germany.
  95. Felling, Tim & Weber, Christoph, 2018. "Consistent and robust delimitation of price zones under uncertainty with an application to Central Western Europe," Energy Economics, Elsevier, vol. 75(C), pages 583-601.
  96. La Fata, Alice & Brignone, Massimo & Procopio, Renato & Bracco, Stefano & Delfino, Federico & Barilli, Riccardo & Ravasi, Martina & Zanellini, Fabio, 2022. "An efficient Energy Management System for long term planning and real time scheduling of flexible polygeneration systems," Renewable Energy, Elsevier, vol. 200(C), pages 1180-1201.
  97. Pinto, Mauro S.S. & Miranda, Vladimiro & Saavedra, Osvaldo R., 2016. "Risk and unit commitment decisions in scenarios of wind power uncertainty," Renewable Energy, Elsevier, vol. 97(C), pages 550-558.
  98. Qipeng Zheng & Jianhui Wang & Panos Pardalos & Yongpei Guan, 2013. "A decomposition approach to the two-stage stochastic unit commitment problem," Annals of Operations Research, Springer, vol. 210(1), pages 387-410, November.
  99. Wogrin, Sonja & Galbally, David & Ramos, Andrés, 2016. "CCGT unit commitment model with first-principle formulation of cycling costs due to fatigue damage," Energy, Elsevier, vol. 113(C), pages 227-247.
  100. Wang, J. & Botterud, A. & Bessa, R. & Keko, H. & Carvalho, L. & Issicaba, D. & Sumaili, J. & Miranda, V., 2011. "Wind power forecasting uncertainty and unit commitment," Applied Energy, Elsevier, vol. 88(11), pages 4014-4023.
  101. Vithayasrichareon, Peerapat & MacGill, Iain F., 2014. "Incorporating short-term operational plant constraints into assessments of future electricity generation portfolios," Applied Energy, Elsevier, vol. 128(C), pages 144-155.
  102. Azizipanah-Abarghooee, Rasoul & Golestaneh, Faranak & Gooi, Hoay Beng & Lin, Jeremy & Bavafa, Farhad & Terzija, Vladimir, 2016. "Corrective economic dispatch and operational cycles for probabilistic unit commitment with demand response and high wind power," Applied Energy, Elsevier, vol. 182(C), pages 634-651.
  103. Felten, Björn & Weber, Christoph, 2018. "The value(s) of flexible heat pumps – Assessment of technical and economic conditions," Applied Energy, Elsevier, vol. 228(C), pages 1292-1319.
  104. Lamadrid, Alberto J. & Mount, Tim, 2012. "Ancillary services in systems with high penetrations of renewable energy sources, the case of ramping," Energy Economics, Elsevier, vol. 34(6), pages 1959-1971.
  105. Wei, Yi-Ming & Chen, Hao & Chyong, Chi Kong & Kang, Jia-Ning & Liao, Hua & Tang, Bao-Jun, 2018. "Economic dispatch savings in the coal-fired power sector: An empirical study of China," Energy Economics, Elsevier, vol. 74(C), pages 330-342.
  106. Denny, E. & Tuohy, A. & Meibom, P. & Keane, A. & Flynn, D. & Mullane, A. & O'Malley, M., 2010. "The impact of increased interconnection on electricity systems with large penetrations of wind generation: A case study of Ireland and Great Britain," Energy Policy, Elsevier, vol. 38(11), pages 6946-6954, November.
  107. Misconel, S. & Leisen, R. & Mikurda, J. & Zimmermann, F. & Fraunholz, C. & Fichtner, W. & Möst, D. & Weber, C., 2022. "Systematic comparison of high-resolution electricity system modeling approaches focusing on investment, dispatch and generation adequacy," Renewable and Sustainable Energy Reviews, Elsevier, vol. 153(C).
  108. Simoglou, Christos K. & Biskas, Pandelis N. & Vagropoulos, Stylianos I. & Bakirtzis, Anastasios G., 2014. "Electricity market models and RES integration: The Greek case," Energy Policy, Elsevier, vol. 67(C), pages 531-542.
  109. Keane, A. & Tuohy, A. & Meibom, P. & Denny, E. & Flynn, D. & Mullane, A. & O'Malley, M., 2011. "Demand side resource operation on the Irish power system with high wind power penetration," Energy Policy, Elsevier, vol. 39(5), pages 2925-2934, May.
  110. Salci, Sener & Jenkins, Glenn, 2016. "An Economic and Stakeholder Analysis for the Design of IPP Contracts for Wind Farms," MPRA Paper 70578, University Library of Munich, Germany.
  111. Zhu, Xu & Yang, Jun & Pan, Xueli & Li, Gaojunjie & Rao, Yingqing, 2020. "Regional integrated energy system energy management in an industrial park considering energy stepped utilization," Energy, Elsevier, vol. 201(C).
  112. Liao, Shiwu & Yao, Wei & Han, Xingning & Wen, Jinyu & Cheng, Shijie, 2017. "Chronological operation simulation framework for regional power system under high penetration of renewable energy using meteorological data," Applied Energy, Elsevier, vol. 203(C), pages 816-828.
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