A: Long-term planning
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Luz and Moura [1111 Da Luz T, Moura P. Power generation expansion planning with complementarity between renewable sources and regions for 100% renewable energy systems. Int Trans Electr Energy Syst [Internet]. 2019 Jan;29(7):e2817. Available from: http://doi.wiley.com/10.1002/2050-7038.2817 http://doi.wiley.com/10.1002/2050-7038.2...
] |
Two days with hourly resolution |
Optimize capacity expansion with monthly balance demand and two days constraints, using nonlinear programming. |
Melo et al. [1414 Melo R, Torres C, Borba B, Dias B. Multi-year two-stage generation and transmission expansion planning: intermittent renewable energy sources integration for Brazilian interconnected power system [Internet]. Electr Eng. 2022 Feb; 104: 2689-701. Available from: https://doi.org/10.1007/s00202-021-01456-6 https://doi.org/10.1007/s00202-021-01456...
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Load duration curve with 12 levels |
CARTHER optimizes VRE expansion by MILP. It optimizes conventional generating units to meet the residual load. |
Basu [1616 Basu M. Electric Power and Heat Generation Expansion Planning. Electr Power Components Syst [Internet]. 2020 Mar 15;48(4-5):501-11. Available from: https://doi.org/10.1080/15325008.2020.1793840 https://doi.org/10.1080/15325008.2020.17...
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Monthly resolution |
Capacity expansion is optimized by monthly balance demand using mixed integer nonlinear programming. |
EPE [2222 Empresa de Pesquisa Energética. Plano Nacional de Energia - 2050 [Internet]. Brasília: MME/EPE; 2020 [cited 2024 Apr 13]. 230 p. Available from: https://www.epe.gov.br/pt/publicacoes-dados-abertos/publicacoes/Plano-Nacional-de-Energia-2050 https://www.epe.gov.br/pt/publicacoes-da...
,2828 Empresa de Pesquisa Energética. [Investment Decision Model for SIN Expansion] [Internet]. Brasília: EPE; 2020 Dec [cited 2024 Apr 13]. 33 p. Available from: https://www.epe.gov.br/sites-pt/publicacoes-dados-abertos/publicacoes/PublicacoesArquivos/publicacao-490/topico-531/NT EPE-DEE-NT-073_2020 - MDI.PDF https://www.epe.gov.br/sites-pt/publicac...
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Three load levels per month |
Optimizes capacity expansion with peak constraint by MILP. |
Paes et al. [2929 Paes CE, Gandelman DA, Firmo HT, Bahiense L. The power generation expansion planning in Brazil: Considering the impact of greenhouse gas emissions in an Investment Decision Model. Renew Energy [Internet]. 2022 Jan;184:225-38. Available from: https://doi.org/10.1016/j.renene.2021.11.060 https://doi.org/10.1016/j.renene.2021.11...
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Three load levels per month |
Optimize capacity expansion with peak constraint and greenhouse gas emissions cost using MILP. |
B: Short-term planning
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FAST2 [33 International Renewable Energy Agency. Power system flexibility for the energy transition [Internet]. Abu Dhabi: IRENA; 2018 Nov [cited 2024 Apr 13]. Available from: https://www.irena.org/publications/2018/Nov/Power-system-flexibility-for-the-energy-transition https://www.irena.org/publications/2018/...
] |
Full year at hourly resolution |
Calculates system dispatch and required upward and downward ramping capabilities. |
InFLEXion [33 International Renewable Energy Agency. Power system flexibility for the energy transition [Internet]. Abu Dhabi: IRENA; 2018 Nov [cited 2024 Apr 13]. Available from: https://www.irena.org/publications/2018/Nov/Power-system-flexibility-for-the-energy-transition https://www.irena.org/publications/2018/...
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Full year at hourly resolution |
System operation is optimized. The results are used to assess potential flexibility shortfalls in different situations. |
C: Longand short-term planning
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Koltsaklis and Georgiadis [88 Koltsaklis NE, Georgiadis MC. A multi-period, multi-regional generation expansion planning model incorporating unit commitment constraints. Appl Energy [Internet]. 2015 Nov;158:310-31. Available from: http://dx.doi.org/10.1016/j.apenergy.2015.08.054 http://dx.doi.org/10.1016/j.apenergy.201...
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One day per month with hourly resolution |
Capacity expansion and system operation are optimized with thermal units’ shut-down cost, using MILP. |
Flores-Quiroz et al. [1212 Flores-Quiroz A, Palma-Behnke R, Zakeri G, Moreno R. A column generation approach for solving generation expansion planning problems with high renewable energy penetration. Electr Power Syst Res [Internet]. 2016 Jul;136:232-41. Available from: http://dx.doi.org/10.1016/j.epsr.2016.02.011 http://dx.doi.org/10.1016/j.epsr.2016.02...
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13 representative weeks with hourly resolution |
Optimize capacity expansion and system operation with thermal units’ shut-down cost, using MILP. They spent 15 days to solve the problem using decomposition. |
Luz and Moura [1919 Luz T, Moura P. 100% Renewable energy planning with complementarity and flexibility based on a multi-objective assessment. Appl Energy [Internet]. 2019 Dec;255:113819. Available from: https://doi.org/10.1016/j.apenergy.2019.113819 https://doi.org/10.1016/j.apenergy.2019....
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Two days with hourly resolution |
Capacity expansion and system operation with battery system are optimized, using multi-objective programming. |
Karimianfard [2020 Karimianfard H, Haghighat H, Zeng B. Co-Optimization of Battery Storage Investment and Grid Expansion in Integrated Energy Systems. IEEE Syst J [Internet]. 2022 Dec;16(4):5928-38. Available from: https://ieeexplore.ieee.org/document/9665771/ https://ieeexplore.ieee.org/document/966...
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Three days with hourly resolution |
Capacity expansion and system operation are optimized using reformulationand-decomposition approach. |
English et al. [2121 English J, Niet T, Lyseng B, Keller V, Palmer-Wilson K, Robertson B, et al. Flexibility requirements and electricity system planning: Assessing inter-regional coordination with large penetrations of variable renewable supplies. Renew Energy [Internet]. 2020 Jan;145:2770-82. Available from: https://doi.org/10.1016/j.renene.2019.07.097 https://doi.org/10.1016/j.renene.2019.07...
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Resolution 32 time slices |
Capacity expansion is optimized using four demand periods per day, with flexibility constraints. |
D: Longand short-term planning with full year
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IRENA [33 International Renewable Energy Agency. Power system flexibility for the energy transition [Internet]. Abu Dhabi: IRENA; 2018 Nov [cited 2024 Apr 13]. Available from: https://www.irena.org/publications/2018/Nov/Power-system-flexibility-for-the-energy-transition https://www.irena.org/publications/2018/...
] |
Full year at hourly resolution |
IRENA FlexTool performs capacity expansion and system operation using linear programming. |
Gils et al. [2323 Gils H, Simon S, Soria R. 100% Renewable Energy Supply for Brazil-The Role of Sector Coupling and Regional Development. Energies [Internet]. 2017 Nov;10(11):1859. Available from: http://www.mdpi.com/1996-1073/10/11/1859 http://www.mdpi.com/1996-1073/10/11/1859...
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Full year at hourly resolution |
REMix energy system model performs capacity expansion and system operation using linear programming. |
Felix and Vila [2626 Felix R, Unsihuay-Vila C. A Model to optimize Mix Power Generation Selection of Distributed Renewable Plants for Expansion Planning with Reliability Criteria: An Application in Puno, Peru. In: 2018 IEEE PES Transmission & Distribution Conference and Exhibition - Latin America (T&D-LA) [Internet]. IEEE; 2018. p. 1-5. Available from: https://ieeexplore.ieee.org/document/8511762/ https://ieeexplore.ieee.org/document/851...
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Full year at hourly resolution |
Renewable energy capacity expansion and transmission for a microgrid using Gurobi in Peru. |
Deane et al. [3232 Deane JP, Gracceva F, Chiodi A, Gargiulo M, Gallachóir BPÓ. Assessing power system security. A framework and a multi model approach. Int J Electr Power Energy Syst [Internet]. 2015 Dec;73:283-97. Available from: http://dx.doi.org/10.1016/j.ijepes.2015.04.020 http://dx.doi.org/10.1016/j.ijepes.2015....
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Full year at hourly resolution |
Optimizes capacity expansion and system operation using a heuristic two-stage approach. |
Proposed model
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Full year at hourly resolution |
Optimizes capacity expansion and system operation using a single level formulation with MILP. Reservoir level is optimized. |