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A stochastic MILP energy planning model incorporating power market dynamics

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  • Koltsaklis, Nikolaos E.
  • Nazos, Konstantinos

Abstract

This paper presents an optimization-based methodological approach to address the problem of the optimal planning of a power system at an annual level in competitive and uncertain power markets. More specifically, a stochastic mixed integer linear programming model (MILP) has been developed, combining advanced optimization techniques with Monte Carlo method in order to deal with uncertainty issues. The main focus of the proposed framework is the dynamic formulation of the strategy followed by all market participants in volatile market conditions, as well as detailed economic assessment of the power system’s operation. The applicability of the proposed approach has been tested on a real case study of the interconnected Greek power system, quantifying in detail all the relevant technical and economic aspects of the system’s operation. The proposed work identifies in the form of probability distributions the optimal power generation mix, electricity trade at a regional level, carbon footprint, as well as detailed total supply cost composition, according to the assumed market structure. The paper demonstrates that the proposed optimization approach is able to provide important insights into the appropriate energy strategies designed by market participants, as well as on the strategic long-term decisions to be made by investors and/or policy makers at a national and/or regional level, underscoring potential risks and providing appropriate price signals on critical energy projects under real market operating conditions.

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  • Koltsaklis, Nikolaos E. & Nazos, Konstantinos, 2017. "A stochastic MILP energy planning model incorporating power market dynamics," Applied Energy, Elsevier, vol. 205(C), pages 1364-1383.
    • Handle: RePEc:eee:appene:v:205:y:2017:i:c:p:1364-1383
    DOI: 10.1016/j.apenergy.2017.08.040
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    1. Koltsaklis, Nikolaos E. & Liu, Pei & Georgiadis, Michael C., 2015. "An integrated stochastic multi-regional long-term energy planning model incorporating autonomous power systems and demand response," Energy, Elsevier, vol. 82(C), pages 865-888.
    2. Qadrdan, Meysam & Cheng, Meng & Wu, Jianzhong & Jenkins, Nick, 2017. "Benefits of demand-side response in combined gas and electricity networks," Applied Energy, Elsevier, vol. 192(C), pages 360-369.
    3. Boroumand, Raphaël Homayoun & Goutte, Stéphane & Porcher, Simon & Porcher, Thomas, 2015. "Hedging strategies in energy markets: The case of electricity retailers," Energy Economics, Elsevier, vol. 51(C), pages 503-509.
    4. Clò, Stefano & Ferraris, Matteo & Florio, Massimo, 2017. "Ownership and environmental regulation: Evidence from the European electricity industry," Energy Economics, Elsevier, vol. 61(C), pages 298-312.
    5. Meunier, Guy, 2013. "Risk aversion and technology mix in an electricity market," Energy Economics, Elsevier, vol. 40(C), pages 866-874.
    6. Dressler, Luisa, 2016. "Support schemes for renewable electricity in the European Union: Producer strategies and competition," Energy Economics, Elsevier, vol. 60(C), pages 186-196.
    7. Nie, S. & Li, Y.P. & Liu, J. & Huang, Charley Z., 2017. "Risk management of energy system for identifying optimal power mix with financial-cost minimization and environmental-impact mitigation under uncertainty," Energy Economics, Elsevier, vol. 61(C), pages 313-329.
    8. Rodriguez, Rolando A. & Becker, Sarah & Greiner, Martin, 2015. "Cost-optimal design of a simplified, highly renewable pan-European electricity system," Energy, Elsevier, vol. 83(C), pages 658-668.
    9. Ryu, Hanee & Dorjragchaa, Shonkhor & Kim, Yeonbae & Kim, Kyunam, 2014. "Electricity-generation mix considering energy security and carbon emission mitigation: Case of Korea and Mongolia," Energy, Elsevier, vol. 64(C), pages 1071-1079.
    10. Herrero, Ignacio & Rodilla, Pablo & Batlle, Carlos, 2015. "Electricity market-clearing prices and investment incentives: The role of pricing rules," Energy Economics, Elsevier, vol. 47(C), pages 42-51.
    11. De Jonghe, Cedric & Delarue, Erik & Belmans, Ronnie & D'haeseleer, William, 2011. "Determining optimal electricity technology mix with high level of wind power penetration," Applied Energy, Elsevier, vol. 88(6), pages 2231-2238, June.
    12. Cleary, Brendan & Duffy, Aidan & Bach, Bjarne & Vitina, Aisma & O’Connor, Alan & Conlon, Michael, 2016. "Estimating the electricity prices, generation costs and CO2 emissions of large scale wind energy exports from Ireland to Great Britain," Energy Policy, Elsevier, vol. 91(C), pages 38-48.
    13. Brand, Bernhard & Missaoui, Rafik, 2014. "Multi-criteria analysis of electricity generation mix scenarios in Tunisia," Renewable and Sustainable Energy Reviews, Elsevier, vol. 39(C), pages 251-261.
    14. Aryanpur, Vahid & Shafiei, Ehsan, 2015. "Optimal deployment of renewable electricity technologies in Iran and implications for emissions reductions," Energy, Elsevier, vol. 91(C), pages 882-893.
    15. Li, Francis G.N. & Trutnevyte, Evelina, 2017. "Investment appraisal of cost-optimal and near-optimal pathways for the UK electricity sector transition to 2050," Applied Energy, Elsevier, vol. 189(C), pages 89-109.
    16. Oseni, Musiliu O. & Pollitt, Michael G., 2016. "The promotion of regional integration of electricity markets: Lessons for developing countries," Energy Policy, Elsevier, vol. 88(C), pages 628-638.
    17. Abrell, Jan & Rausch, Sebastian, 2016. "Cross-country electricity trade, renewable energy and European transmission infrastructure policy," Journal of Environmental Economics and Management, Elsevier, vol. 79(C), pages 87-113.
    18. Koltsaklis, Nikolaos E. & Dagoumas, Athanasios S. & Georgiadis, Michael C. & Papaioannou, George & Dikaiakos, Christos, 2016. "A mid-term, market-based power systems planning model," Applied Energy, Elsevier, vol. 179(C), pages 17-35.
    19. Costa, Oswaldo L.V. & de Oliveira Ribeiro, Celma & Rego, Erik Eduardo & Stern, Julio Michael & Parente, Virginia & Kileber, Solange, 2017. "Robust portfolio optimization for electricity planning: An application based on the Brazilian electricity mix," Energy Economics, Elsevier, vol. 64(C), pages 158-169.
    20. Pattupara, Rajesh & Kannan, Ramachandran, 2016. "Alternative low-carbon electricity pathways in Switzerland and it’s neighbouring countries under a nuclear phase-out scenario," Applied Energy, Elsevier, vol. 172(C), pages 152-168.
    21. Li, Gong & Shi, Jing & Qu, Xiuli, 2011. "Modeling methods for GenCo bidding strategy optimization in the liberalized electricity spot market–A state-of-the-art review," Energy, Elsevier, vol. 36(8), pages 4686-4700.
    22. Sithole, H. & Cockerill, T.T. & Hughes, K.J. & Ingham, D.B. & Ma, L. & Porter, R.T.J. & Pourkashanian, M., 2016. "Developing an optimal electricity generation mix for the UK 2050 future," Energy, Elsevier, vol. 100(C), pages 363-373.
    23. Kim, Hyunsook & Kim, Sung-Soo, 2010. "The optimal fuel mix and redistribution of social surplus in the Korean power market," Energy Policy, Elsevier, vol. 38(12), pages 7929-7938, December.
    24. Boroumand, Raphaël Homayoun & Goutte, Stéphane & Porcher, Simon & Porcher, Thomas, 2015. "Hedging strategies in energy markets: The case of electricity retailers," Energy Economics, Elsevier, vol. 51(C), pages 503-509.
    25. Bishop, Justin D.K. & Amaratunga, Gehan A.J. & Rodriguez, Cuauhtemoc, 2008. "Using strong sustainability to optimize electricity generation fuel mixes," Energy Policy, Elsevier, vol. 36(3), pages 971-980, March.
    26. Vespucci, Maria Teresa & Innorta, Mario & Cervigni, Guido, 2013. "A Mixed Integer Linear Programming model of a zonal electricity market with a dominant producer," Energy Economics, Elsevier, vol. 35(C), pages 35-41.
    27. Amrutha, A.A. & Balachandra, P. & Mathirajan, M., 2017. "Role of targeted policies in mainstreaming renewable energy in a resource constrained electricity system: A case study of Karnataka electricity system in India," Energy Policy, Elsevier, vol. 106(C), pages 48-58.
    28. Shakouri G., H. & Eghlimi, M. & Manzoor, D., 2009. "Economically optimized electricity trade modeling: Iran-Turkey case," Energy Policy, Elsevier, vol. 37(2), pages 472-483, February.
    29. Mendes, Carla & Soares, Isabel, 2014. "Renewable energies impacting the optimal generation mix: The case of the Iberian Electricity Market," Energy, Elsevier, vol. 69(C), pages 23-33.
    30. Erik Canton & Jan In't Veld & Romanos Priftis, . "Quarterly Report on the Euro Area (QREA), Vol.15, No.1 (2016)," Quarterly Report on the Euro Area (QREA), Directorate General Economic and Financial Affairs (DG ECFIN), European Commission.
    31. Brancucci Martínez-Anido, C. & Vandenbergh, M. & de Vries, L. & Alecu, C. & Purvins, A. & Fulli, G. & Huld, T., 2013. "Medium-term demand for European cross-border electricity transmission capacity," Energy Policy, Elsevier, vol. 61(C), pages 207-222.
    32. Deane, J.P. & Driscoll, Á. & Gallachóir, B.P Ó, 2015. "Quantifying the impacts of national renewable electricity ambitions using a North–West European electricity market model," Renewable Energy, Elsevier, vol. 80(C), pages 604-609.
    33. Vidal-Amaro, Juan José & Østergaard, Poul Alberg & Sheinbaum-Pardo, Claudia, 2015. "Optimal energy mix for transitioning from fossil fuels to renewable energy sources – The case of the Mexican electricity system," Applied Energy, Elsevier, vol. 150(C), pages 80-96.
    34. Sharifzadeh, Mahdi & Lubiano-Walochik, Helena & Shah, Nilay, 2017. "Integrated renewable electricity generation considering uncertainties: The UK roadmap to 50% power generation from wind and solar energies," Renewable and Sustainable Energy Reviews, Elsevier, vol. 72(C), pages 385-398.
    35. Koltsaklis, Nikolaos E. & Georgiadis, Michael C., 2015. "A multi-period, multi-regional generation expansion planning model incorporating unit commitment constraints," Applied Energy, Elsevier, vol. 158(C), pages 310-331.
    36. Timilsina, Govinda R. & Toman, Mike, 2016. "Potential gains from expanding regional electricity trade in South Asia," Energy Economics, Elsevier, vol. 60(C), pages 6-14.
    37. Wierzbowski, Michal & Filipiak, Izabela & Lyzwa, Wojciech, 2017. "Polish energy policy 2050 – An instrument to develop a diversified and sustainable electricity generation mix in coal-based energy system," Renewable and Sustainable Energy Reviews, Elsevier, vol. 74(C), pages 51-70.
    38. Farnoosh, Arash & Lantz, Frederic & Percebois, Jacques, 2014. "Electricity generation analyses in an oil-exporting country: Transition to non-fossil fuel based power units in Saudi Arabia," Energy, Elsevier, vol. 69(C), pages 299-308.
    39. Hickey, Emily A. & Lon Carlson, J. & Loomis, David, 2010. "Issues in the determination of the optimal portfolio of electricity supply options," Energy Policy, Elsevier, vol. 38(5), pages 2198-2207, May.
    40. Totschnig, G. & Hirner, R. & Müller, A. & Kranzl, L. & Hummel, M. & Nachtnebel, H.-P. & Stanzel, P. & Schicker, I. & Formayer, H., 2017. "Climate change impact and resilience in the electricity sector: The example of Austria and Germany," Energy Policy, Elsevier, vol. 103(C), pages 238-248.
    41. Koltsaklis, Nikolaos E. & Dagoumas, Athanasios S. & Kopanos, Georgios M. & Pistikopoulos, Efstratios N. & Georgiadis, Michael C., 2014. "A spatial multi-period long-term energy planning model: A case study of the Greek power system," Applied Energy, Elsevier, vol. 115(C), pages 456-482.
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