Importance subsampling for power system planning under multi-year demand and weather uncertainty
暂无分享,去创建一个
[1] Desta Z. Fitiwi,et al. A new approach of clustering operational states for power network expansion planning problems dealing with RES (renewable energy source) generation operational variability and uncertainty , 2015 .
[2] Benjamin F. Hobbs,et al. Sensitivity of Resource Adequacy to Sample Error in Systems with Dependent Renewable Generation , 2018, 2018 IEEE International Conference on Probabilistic Methods Applied to Power Systems (PMAPS).
[3] 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 .
[4] William D'haeseleer,et al. Impact of the level of temporal and operational detail in energy-system planning models , 2016 .
[5] Erik Delarue,et al. Selecting Representative Days for Capturing the Implications of Integrating Intermittent Renewables in Generation Expansion Planning Problems , 2017, IEEE Transactions on Power Systems.
[6] Detlef Stolten,et al. Impact of different time series aggregation methods on optimal energy system design , 2017, ArXiv.
[7] Lion Hirth,et al. Carpe diem: A novel approach to select representative days for long-term power system modeling , 2016 .
[8] Erik Delarue,et al. Integrating short term variations of the power system into integrated energy system models: A methodological review , 2017 .
[9] Birgit Fais,et al. Designing low-carbon power systems for Great Britain in 2050 that are robust to the spatiotemporal and inter-annual variability of weather , 2018 .
[10] Sonja Wogrin,et al. Enhanced Representative Days and System States Modeling for Energy Storage Investment Analysis , 2018, IEEE Transactions on Power Systems.
[11] Bri-Mathias Hodge,et al. Effects on power system operations of potential changes in wind and solar generation potential under climate change , 2019, Environmental Research Letters.
[12] Iain Staffell,et al. The increasing impact of weather on electricity supply and demand , 2018 .
[13] S. Pfenninger,et al. Impacts of Inter-annual Wind and Solar Variations on the European Power System , 2018, Joule.
[14] A. Charlton-Perez,et al. Characterizing the winter meteorological drivers of the European electricity system using targeted circulation types , 2019, Meteorological Applications.
[15] L. Shaffrey,et al. Quantifying the increasing sensitivity of power systems to climate variability , 2016 .
[16] Stefan Pfenninger,et al. Calliope: a multi-scale energy systems modelling framework , 2018, J. Open Source Softw..
[17] Magnus Korpås,et al. Assessing the impact of sampling and clustering techniques on offshore grid expansion planning , 2017 .
[18] Mohammad Shahidehpour,et al. Security-constrained expansion planning of fast-response units for wind integration ☆ , 2011 .
[19] W. Turkenburg,et al. Cost-optimal reliable power generation in a deep decarbonisation future , 2019, Applied Energy.
[20] Aqeel Ahmed Bazmi,et al. Sustainable energy systems: Role of optimization modeling techniques in power generation and supply—A review , 2011 .
[21] Detlef Stolten,et al. A Review on Time Series Aggregation Methods for Energy System Models , 2020, Energies.
[22] Axel Gandy,et al. Importance subsampling: improving power system planning under climate-based uncertainty , 2019, Applied Energy.
[23] Axel Gandy,et al. Efficient Quantification of the Impact of Demand and Weather Uncertainty in Power System Models , 2020, IEEE Transactions on Power Systems.
[24] Xi Zhang,et al. Data-Driven Representative Day Selection for Investment Decisions: A Cost-Oriented Approach , 2019, IEEE Transactions on Power Systems.
[25] Dirk Witthaut,et al. More Homogeneous Wind Conditions Under Strong Climate Change Decrease the Potential for Inter-State Balancing of Electricity in Europe , 2017 .
[26] 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.