MILP model for long-term energy mix planning with consideration of power system reserves

The purpose of this paper is to present the novel long-term energy mix optimization model eMix, which takes into account daily requirements of power system operation (primary, secondary and tertiary reserve) and how should they react to increasing RES penetration.

[1]  Adam Hawkes,et al.  Energy systems modeling for twenty-first century energy challenges , 2014 .

[2]  Ángel Marín,et al.  Electric capacity expansion under uncertain demand: decomposition approaches , 1998 .

[3]  V. Kachitvichyanukul,et al.  A New Efficient GA-Benders' Decomposition Method: For Power Generation Expansion Planning With Emission Controls , 2007, IEEE Transactions on Power Systems.

[4]  M. Carrion,et al.  A computationally efficient mixed-integer linear formulation for the thermal unit commitment problem , 2006, IEEE Transactions on Power Systems.

[5]  Brian Ó Gallachóir,et al.  Soft-linking of a power systems model to an energy systems model , 2012 .

[6]  Ying Li,et al.  ENERGY AND ENVIRONMENTAL SYSTEMS PLANNING UNDER UNCERTAINTY—AN INEXACT FUZZY-STOCHASTIC PROGRAMMING APPROACH , 2010 .

[7]  Shahram Jadid,et al.  A dynamic model for coordination of generation and transmission expansion planning in power systems , 2015 .

[8]  William D'haeseleer,et al.  Determining optimal electricity technology mix with high level of wind power penetration , 2011 .

[9]  M. Shahidehpour,et al.  Price-based unit commitment: a case of Lagrangian relaxation versus mixed integer programming , 2005, IEEE Transactions on Power Systems.

[10]  H. Rogner,et al.  Incorporating flexibility requirements into long-term energy system models – A case study on high levels of renewable electricity penetration in Ireland , 2014 .

[11]  A. Conejo,et al.  Optimal response of a thermal unit to an electricity spot market , 2000 .

[12]  M. Anjos,et al.  Tight Mixed Integer Linear Programming Formulations for the Unit Commitment Problem , 2012, IEEE Transactions on Power Systems.

[13]  J. Latorre,et al.  Tight and Compact MILP Formulation for the Thermal Unit Commitment Problem , 2013, IEEE Transactions on Power Systems.

[14]  Peter Morris,et al.  An Efficient Approach to the Optimal Static Geneeration Mix Problem , 1984, IEEE Transactions on Power Apparatus and Systems.

[15]  Efstratios N. Pistikopoulos,et al.  A spatial multi-period long-term energy planning model: A case study of the Greek power system , 2014 .

[16]  E. N. Oatman,et al.  A Dynamic Approach to Generation Expansion Planning , 1973 .

[17]  C. Genesi,et al.  Generation Expansion Planning in the Age of Green Economy , 2011 .

[18]  Misak Avetisyan,et al.  Optimal expansion of a developing power system under the conditions of market economy and environmental constraints , 2006 .

[19]  Guohe Huang,et al.  Feasibility-based inexact fuzzy programming for electric power generation systems planning under dual uncertainties , 2011 .

[20]  Adelino J. C. Pereira,et al.  Generation expansion planning (GEP) – A long-term approach using system dynamics and genetic algorithms (GAs) , 2011 .

[21]  E. Jochem,et al.  Introduction to Energy Systems Modelling , 2012 .

[22]  Benjamin F. Hobbs,et al.  The Next Generation of Electric Power Unit Commitment Models , 2013 .

[23]  M. Sadeghi,et al.  Energy supply planning in Iran by using fuzzy linear programming approach (regarding uncertainties of investment costs) , 2006 .

[24]  Chandan Kumar Chanda,et al.  Placement of wind and solar based DGs in distribution system for power loss minimization and voltage stability improvement , 2013 .

[25]  Heidar Ali Shayanfar,et al.  Optimal placement of distributed generations considering voltage stability and power losses with observing voltage-related constraints , 2014 .

[26]  Pei Liu,et al.  A multi-region optimization planning model for China's power sector , 2015 .

[27]  Goran Strbac,et al.  Supporting security and adequacy in future energy systems: The need to enhance long‐term energy system models to better treat issues related to variability , 2015 .

[28]  Guohe Huang,et al.  Planning of regional energy systems: An inexact mixed-integer fractional programming model , 2014 .

[29]  Q. Ahsan,et al.  A dynamic model for generation expansion planning , 1985 .

[30]  Mohamed Elsholkami,et al.  Financial risk management for new technology integration in energy planning under uncertainty , 2014 .

[31]  Brian Vad Mathiesen,et al.  A review of computer tools for analysing the integration of renewable energy into various energy systems , 2010 .

[32]  Michal Wierzbowski,et al.  MILP Formulation for Energy Mix Optimization , 2015, IEEE Transactions on Industrial Informatics.

[33]  Berna Dengiz,et al.  An integrated simulation model for analysing electricity and gas systems , 2014 .

[34]  A. Azapagic,et al.  A multi-period mixed-integer linear optimisation of future electricity supply considering life cycle costs and environmental impacts , 2014 .

[35]  W. J. Hobbs,et al.  An enhanced dynamic programming approach for unit commitment , 1988 .

[36]  B. Hobbs,et al.  Optimal Generation Mix With Short-Term Demand Response and Wind Penetration , 2012, IEEE Transactions on Power Systems.

[37]  A. Rentizelas,et al.  An impact assessment of electricity and emission allowances pricing in optimised expansion planning of power sector portfolios , 2011 .

[38]  Furong Li,et al.  New Problem Formulation of Emission Constrained Generation Mix , 2013, IEEE Transactions on Power Systems.

[39]  Zheng Li,et al.  A multi-period modelling and optimization approach to the planning of China's power sector with consideration of carbon dioxide mitigation , 2012, Comput. Chem. Eng..

[40]  Jamshid Aghaei,et al.  Multistage distribution system expansion planning considering distributed generation using hybrid evolutionary algorithms , 2013 .

[41]  Ignacio J. Pérez-Arriaga,et al.  A nonlinear programming approach to optimal static generation expansion planning , 1989 .

[42]  S. A. Farghal,et al.  Generation Expansion Planning Using the Decision Tree Technique , 1987 .

[43]  Manuel Welsch,et al.  Modelling elements of Smart Grids – Enhancing the OSeMOSYS (Open Source Energy Modelling System) code , 2012 .

[44]  Carlos M. Correa-Posada,et al.  Integrated Power and Natural Gas Model for Energy Adequacy in Short-Term Operation , 2015, IEEE Transactions on Power Systems.

[45]  Mohammad Shahidehpour,et al.  Generation expansion planning in wind-thermal power systems , 2010 .