Power system planning with increasing variable renewable energy: A review of optimization models
暂无分享,去创建一个
[1] W. Deason. Comparison of 100% renewable energy system scenarios with a focus on flexibility and cost , 2018 .
[2] Jyotirmay Mathur,et al. Implications of short-term renewable energy resource intermittency in long-term power system planning , 2018, Energy Strategy Reviews.
[3] Omar J. Guerra,et al. An optimization framework for the integrated planning of generation and transmission expansion in interconnected power systems , 2016 .
[4] Camille Cany,et al. Nuclear contribution to the penetration of variable renewable energy sources in a French decarbonised power mix , 2018 .
[5] Matias Negrete-Pincetic,et al. Expansion planning under uncertainty for hydrothermal systems with variable resources , 2018, International Journal of Electrical Power & Energy Systems.
[6] Edward S. Rubin,et al. Power capacity expansion planning considering endogenous technology cost learning (vol 204, pg 831, 2017) , 2017 .
[7] Firas Basim Ismail,et al. Uncertainty models for stochastic optimization in renewable energy applications , 2020, Renewable Energy.
[8] Jamshid Aghaei,et al. Multiobjective generation expansion planning considering power system adequacy , 2013 .
[9] Paul Denholm,et al. Grid flexibility and storage required to achieve very high penetration of variable renewable electricity , 2011 .
[10] Julio Usaola,et al. Capacity credits of wind and solar generation: The Spanish case , 2019 .
[11] Tobias Naegler,et al. Electrical energy storage in highly renewable European energy systems: Capacity requirements, spatial distribution, and storage dispatch , 2017 .
[12] George Tsatsaronis,et al. Value of power plant flexibility in power systems with high shares of variable renewables: A scenario outlook for Germany 2035 , 2017 .
[13] Peter M. Haugan,et al. A review of modelling tools for energy and electricity systems with large shares of variable renewables , 2018, Renewable and Sustainable Energy Reviews.
[14] Sonja Wogrin,et al. Policy implications of downscaling the time dimension in power system planning models to represent variability in renewable output , 2018, Energy.
[15] Bing Wang,et al. Effects of carbon and environmental tax on power mix planning - A case study of Hebei Province, China , 2018 .
[16] Anibal T. de Almeida,et al. Multi-objective optimization of a mixed renewable system with demand-side management , 2010 .
[17] M. Howells,et al. Long-term optimisation model of the Tunisian power system , 2017 .
[18] J. Edmonds,et al. Roles of wind and solar energy in China’s power sector: Implications of intermittency constraints , 2018 .
[19] Erik Delarue,et al. Integrating short term variations of the power system into integrated energy system models: A methodological review , 2017 .
[20] Giacomo Marangoni,et al. Including System Integration of Variable Renewable Energies in a Constant Elasticity of Substitution Framework: The Case of the WITCH Model , 2016 .
[21] Detlef P. van Vuuren,et al. Representation of variable renewable energy sources in TIMER, an aggregated energy system simulation model , 2017 .
[22] E. Hirst,et al. Electric‐Utility Resource Planning and Decision‐Making: The Importance of Uncertainty , 1990 .
[23] Pei Liu,et al. A multi-region optimization planning model for China's power sector , 2015 .
[24] Martin Greiner,et al. Backup flexibility classes in emerging large-scale renewable electricity systems , 2016 .
[25] Mark Z. Jacobson,et al. Flexibility mechanisms and pathways to a highly renewable US electricity future , 2016 .
[26] David Kleinhans,et al. Integration of Renewable Energy Sources in future power systems: The role of storage , 2014, 1405.2857.
[27] Machteld van den Broek,et al. Impacts of large-scale Intermittent Renewable Energy Sources on electricity systems, and how these can be modeled , 2014 .
[28] Robert J. Brecha,et al. Analyzing Major Challenges of Wind and Solar Variability in Power Systems , 2014 .
[29] Jong-hyun Ryu,et al. A long-term capacity expansion planning model for an electric power system integrating large-size renewable energy technologies , 2017, Comput. Oper. Res..
[30] William D'haeseleer,et al. Impact of the level of temporal and operational detail in energy-system planning models , 2016 .
[31] Iain Staffell,et al. A systems approach to quantifying the value of power generation and energy storage technologies in future electricity networks , 2017, Comput. Chem. Eng..
[32] Niclas Mattsson,et al. Using Resource Based Slicing to Capture the Intermittency of Variable Renewables , 2017 .
[33] Ioannis P. Panapakidis,et al. Impact of the penetration of renewables on flexibility needs , 2017 .
[34] Paula Varandas Ferreira,et al. A simplified optimization model to short-term electricity planning , 2015 .
[35] Samiha Tahseen,et al. Deploying storage assets to facilitate variable renewable energy integration: The impacts of grid flexibility, renewable penetration, and market structure , 2018 .
[36] Nikolaos E. Koltsaklis,et al. A multi-period, multi-regional generation expansion planning model incorporating unit commitment constraints , 2015 .
[37] Daniela Thrän,et al. Small adaptations, big impacts: Options for an optimized mix of variable renewable energy sources , 2014 .
[38] H. Shayeghi,et al. Demand side management in a smart micro-grid in the presence of renewable generation and demand response , 2017 .
[39] P. E. Grohnheit,et al. A global renewable energy system: A modelling exercise in ETSAP/TIAM , 2011 .
[40] Guohe Huang,et al. Optimization of electric power systems with cost minimization and environmental-impact mitigation under multiple uncertainties , 2018, Applied Energy.
[41] R. Pietzcker,et al. Application of a high-detail energy system model to derive power sector characteristics at high wind and solar shares , 2017 .
[42] Anibal T. de Almeida,et al. Multi-objective power generation expansion planning with high penetration of renewables , 2018 .
[43] Tom Brijs,et al. Quantifying the importance of power system operation constraints in power system planning models: A case study for electricity storage , 2017 .
[44] Dalia Streimikiene,et al. Multi-criteria ranking of energy generation scenarios with Monte Carlo simulation , 2017 .
[45] Paula Varandas Ferreira,et al. Generation expansion planning with high share of renewables of variable output , 2017 .
[46] Florian Steinke,et al. Grid vs. storage in a 100% renewable Europe , 2013 .
[47] Machteld van den Broek,et al. Least-cost options for integrating intermittent renewables in low-carbon power systems , 2016 .
[48] Qi Zhang,et al. An integrated model for long-term power generation planning toward future smart electricity systems , 2013 .
[49] Michal Wierzbowski,et al. MILP model for long-term energy mix planning with consideration of power system reserves , 2016 .
[50] Pei Liu,et al. A multi-regional modelling and optimization approach to China's power generation and transmission planning , 2016 .
[51] Ali Nahavandi,et al. A comprehensive reserve allocation method in a micro-grid considering renewable generation intermittency and demand side participation , 2018, Energy.
[52] Matthias Huber,et al. On The Optimal Mix of Wind and Solar Generation in the Future Chinese Power System , 2015 .
[53] Josip Vasilj,et al. Estimating future balancing power requirements in wind–PV power system , 2016 .
[54] Yongxiu He,et al. Residential demand response behavior analysis based on Monte Carlo simulation: The case of Yinchuan in China , 2012 .
[55] Nouredine Hadjsaid,et al. Storage as a flexibility option in power systems with high shares of variable renewable energy sources: a POLES-based analysis , 2017 .
[56] Lion Hirth,et al. Carpe diem: A novel approach to select representative days for long-term power system modeling , 2016 .
[57] Enzo Sauma,et al. Effect of Climate Change on wind speed and its impact on optimal power system expansion planning: The case of Chile , 2019, Energy Economics.
[58] Hendrik Kondziella,et al. Flexibility requirements of renewable energy based electricity systems – a review of research results and methodologies , 2016 .
[59] G. Papaefthymiou,et al. Towards 100% renewable energy systems: Uncapping power system flexibility , 2016 .
[60] Can Wang,et al. Analyzing the penetration barriers of clean generation technologies in China’s power sector using a multi-region optimization model , 2017 .
[61] Peter Lund,et al. Modeling flexibility and optimal use of existing power plants with large-scale variable renewable power schemes , 2016 .
[62] M. Thring. World Energy Outlook , 1977 .
[63] Christoph Schillings,et al. Solar electricity imports from the Middle East and North Africa to Europe , 2012 .
[64] Bryan W. Karney,et al. System design and operation for integrating variable renewable energy resources through a comprehensive characterization framework , 2017 .
[65] Adam Hawkes,et al. Energy systems modeling for twenty-first century energy challenges , 2014 .
[66] Hossein Seifi,et al. Electric Power System Planning , 2011 .
[67] Iain MacGill,et al. Accelerating the global transformation to 21st century power systems , 2013 .
[68] Martin Greiner,et al. Cost-optimal design of a simplified, highly renewable pan-European electricity system , 2015 .
[69] Gang He,et al. An integrated source-grid-load planning model at the macro level: Case study for China's power sector , 2017 .
[70] A. Anctil,et al. Factors impacting diverging paths of renewable energy: A review , 2018 .
[71] Vahid Aryanpur,et al. Power sector development in Iran: A retrospective optimization approach , 2017 .
[72] Nikolaos E. Koltsaklis,et al. State-of-the-art generation expansion planning: A review , 2018, Applied Energy.
[73] Bryan W. Karney,et al. Long-term scenario alternatives and their implications: LEAP model application of Panama׳s electricity sector , 2014 .
[74] Aleksandra Roos,et al. Value of demand flexibility on spot and reserve electricity markets in future power system with increased shares of variable renewable energy , 2018 .
[75] Dalia Patino-Echeverri,et al. Wind power generation in China: Understanding the mismatch between capacity and generation , 2012 .
[76] R. Balasubramanian,et al. Integrated generation and transmission expansion planning including power and fuel transportation constraints , 2012 .
[77] P. Fleming,et al. Generation expansion planning optimisation with renewable energy integration: A review , 2017 .
[78] Michel-Alexandre Cardin,et al. Towards more resilient integrated power grid capacity expansion: A robust optimization approach with operational flexibility , 2018 .
[79] Diego Luca de Tena,et al. Integrated modelling of variable renewable energy-based power supply in Europe , 2017 .
[80] William Zappa,et al. Analysing the potential of integrating wind and solar power in Europe using spatial optimisation under various scenarios , 2018, Renewable and Sustainable Energy Reviews.
[81] Stefan Pfenninger,et al. Dealing with multiple decades of hourly wind and PV time series in energy models: A comparison of methods to reduce time resolution and the planning implications of inter-annual variability , 2017 .