Comparison of different model formulations for modelling future power systems with high shares of renewables – The Dispa-SET Balkans model
暂无分享,去创建一个
Tomislav Pukšec | Sylvain Quoilin | Matija Pavičević | K. C. Kavvadias | S. Quoilin | K. Kavvadias | Matija Pavičević | Tomislav Pukšec
[1] Xiang Liao,et al. Study on unit commitment problem considering pumped storage and renewable energy via a novel binary artificial sheep algorithm , 2017 .
[2] A. Dewulf. Contrasting frames in policy debates on climate change adaptation , 2013 .
[3] Behnam Mohammadi-Ivatloo,et al. Energy production cost minimization in a combined heat and power generation systems using cuckoo optimization algorithm , 2017 .
[4] K. D. Bruin,et al. Adapting to climate change in The Netherlands: an inventory of climate adaptation options and ranking of alternatives , 2009 .
[5] Neil Hewitt,et al. Estimating power plant start costs in cyclic operation , 2013 .
[6] Gustav Resch,et al. South East Europe electricity roadmap – modelling energy transition in the electricity sectors , 2018, Climate Policy.
[7] Patrick Sullivan,et al. System Integration of Wind and Solar Power in Integrated Assessment Models: A Cross-Model Evaluation of New Approaches , 2017 .
[8] Zhile Yang,et al. A novel parallel-series hybrid meta-heuristic method for solving a hybrid unit commitment problem , 2017, Knowl. Based Syst..
[9] Iain Staffell,et al. The importance of open data and software: Is energy research lagging behind? , 2017 .
[10] Edward S. Rubin,et al. Power capacity expansion planning considering endogenous technology cost learning (vol 204, pg 831, 2017) , 2017 .
[11] Pio A. Aguirre,et al. Unit Commitment Scheduling Including Transmission Constraints: a MILP Formulation , 2016 .
[12] 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..
[13] Valentin Bertsch,et al. Highly resolved optimal renewable allocation planning in power systems under consideration of dynamic grid topology , 2017, Comput. Oper. Res..
[14] Juan M. Morales,et al. Chronological Time-Period Clustering for Optimal Capacity Expansion Planning With Storage , 2018, IEEE Transactions on Power Systems.
[15] S. Iniyan,et al. A review of climate change, mitigation and adaptation , 2012 .
[16] Guangchao Geng,et al. Hydro-Thermal-Wind Coordination in Day-Ahead Unit Commitment , 2016, IEEE Transactions on Power Systems.
[17] Erik Delarue,et al. Applicability of a Clustered Unit Commitment Model in Power System Modeling , 2018, IEEE Transactions on Power Systems.
[18] R. Fernández-Blanco,et al. Quantifying the water-power linkage on hydrothermal power systems: A Greek case study , 2017 .
[19] I. A. Farhat,et al. Optimization methods applied for solving the short-term hydrothermal coordination problem , 2009 .
[20] Pio A. Aguirre,et al. Security-Constrained Unit Commitment Problem including thermal and pumped storage units: An MILP formulation by the application of linear approximations techniques , 2018 .
[21] S. Pfenninger,et al. Long-term patterns of European PV output using 30 years of validated hourly reanalysis and satellite data , 2016 .
[22] Goran Krajačić,et al. Applying the Dispa-SET Model to the Western Balkans Power System , 2017 .
[23] L. Papageorgiou,et al. An MILP formulation for the optimal management of microgrids with task interruptions , 2017 .
[24] L. Myers,et al. Spearman Correlation Coefficients, Differences between , 2004 .
[25] Sylvain Quoilin,et al. The joint effect of centralised cogeneration plants and thermal storage on the efficiency and cost of the power system , 2018 .
[26] Bryan Palmintier,et al. Heterogeneous unit clustering for efficient operational flexibility modeling , 2014, 2014 IEEE PES General Meeting | Conference & Exposition.
[27] James Merrick,et al. Simulating Annual Variation in Load, Wind, and Solar by Representative Hour Selection , 2018, The Energy Journal.
[28] S. Pfenninger,et al. Using bias-corrected reanalysis to simulate current and future wind power output , 2016 .
[29] Benjamin F. Hobbs,et al. Hidden power system inflexibilities imposed by traditional unit commitment formulations , 2017 .
[30] Jinyu Wen,et al. Modeling formulation and validation for accelerated simulation and flexibility assessment on large scale power systems under higher renewable penetrations , 2019, Applied Energy.
[31] Nikolaos E. Koltsaklis,et al. A multi-period, multi-regional generation expansion planning model incorporating unit commitment constraints , 2015 .
[32] Claudio Gentile,et al. A tight MIP formulation of the unit commitment problem with start-up and shut-down constraints , 2017, EURO J. Comput. Optim..
[33] William D'haeseleer,et al. Impact of the level of temporal and operational detail in energy-system planning models , 2016 .
[34] N. Kyriakis,et al. Impact of the ambient temperature rise on the energy consumption for heating and cooling in residential buildings of Greece , 2010 .
[35] Masatoshi Nakamura,et al. Reliable Maintenance Scheduling of Pumps in Existing Thermal Power Stations , 1997 .
[36] Victor Hinojosa,et al. A computational comparison of 2 mathematical formulations to handle transmission network constraints in the unit commitment problem , 2017 .
[37] F. Pietrapertosa,et al. Climate change adaptation policies and plans: A survey in 11 South East European countries , 2018 .
[38] Wouter Nijs,et al. Addressing flexibility in energy system models , 2015 .
[39] Adam R. Brandt,et al. Clustering methods to find representative periods for the optimization of energy systems: An initial framework and comparison , 2019, Applied Energy.
[40] Yan Xu,et al. A novel projected two-binary-variable formulation for unit commitmentin power systems , 2017 .
[41] Erik Delarue,et al. Integrating short term variations of the power system into integrated energy system models: A methodological review , 2017 .
[42] Leszek Kasprzyk,et al. Effects of binary variables in mixed integer linear programming based unit commitment in large-scale electricity markets , 2018 .
[43] Adam Hawkes,et al. Energy systems modeling for twenty-first century energy challenges , 2014 .
[44] John E. Bistline,et al. Turn Down for What? The Economic Value of Operational Flexibility in Electricity Markets , 2019, IEEE Transactions on Power Systems.
[45] Ismail El Kafazi,et al. Optimization Strategy Considering Energy Storage Systems to Minimize Energy Production Cost of Power Systems , 2018 .
[46] Ross Baldick,et al. Representing Operational Flexibility in Generation Expansion Planning Through Convex Relaxation of Unit Commitment , 2018, IEEE Transactions on Power Systems.
[47] Nikolaos E. Koltsaklis,et al. State-of-the-art generation expansion planning: A review , 2018, Applied Energy.
[48] Bryan Palmintier,et al. Impact of operational flexibility on electricity generation planning with renewable and carbon targets , 2016, 2016 IEEE Power and Energy Society General Meeting (PESGM).