IDEAS home Printed from https://ideas.repec.org/a/spr/operea/v21y2021i1d10.1007_s12351-018-0440-z.html
   My bibliography  Save this article

A power system scheduling model with carbon intensity and ramping capacity constraints

Author

Listed:
  • Nikolaos E. Koltsaklis

    (University of Piraeus)

  • Athanasios S. Dagoumas

    (University of Piraeus)

Abstract

The integration of European electricity markets aims at market coupling among interconnected power systems and the evolution of environmentally friendly technologies. This process is anticipated to utilize more efficiently the flexible generation and interconnections transmission capacity and provide environmental and economic benefits to final consumers. This paper presents a mixed integer linear programming model for the optimal scheduling of a power system (unit commitment problem) simulating the day-ahead electricity market. The model determines the optimal daily power generation mix, the electricity trade with neighboring countries, the evolution of the system's marginal price and the resulting environmental impact. The model incorporates CO2 emissions intensity constraints and introduces flexible ramping products, in addition to reserve requirements, aiming to identify their impacts on both operational and economic decisions. The model is applied on the Greek power system and its interconnections with neighboring power systems in Southeast Europe. The proposed approach can provide useful insights on the optimal generation and interconnections portfolio that meets the real electricity market operating needs of contemporary power systems with environmental and ramping capacity constraints.

Suggested Citation

  • Nikolaos E. Koltsaklis & Athanasios S. Dagoumas, 2021. "A power system scheduling model with carbon intensity and ramping capacity constraints," Operational Research, Springer, vol. 21(1), pages 647-687, March.
    • Handle: RePEc:spr:operea:v:21:y:2021:i:1:d:10.1007_s12351-018-0440-z
    DOI: 10.1007/s12351-018-0440-z
    as

    Download full text from publisher

    File URL: http://link.springer.com/10.1007/s12351-018-0440-z
    File Function: Abstract
    Download Restriction: Access to the full text of the articles in this series is restricted.
    File URL: https://libkey.io/10.1007/s12351-018-0440-z?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    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. 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.
    3. Böckers, Veit & Haucap, Justus & Heimeshoff, Ulrich, 2013. "Benefits of an integrated European electricity market," DICE Discussion Papers 109, Heinrich Heine University Düsseldorf, Düsseldorf Institute for Competition Economics (DICE).
    4. Carlos Benavides & Luis Gonzales & Manuel Diaz & Rodrigo Fuentes & Gonzalo García & Rodrigo Palma-Behnke & Catalina Ravizza, 2015. "Correction: The Impact of a Carbon Tax on the Chilean Electricity Generation Sector," Energies, MDPI, vol. 8(6), pages 1-2, June.
    5. Dagoumas, Athanasios S. & Koltsaklis, Nikolasos E. & Panapakidis, Ioannis P., 2017. "An integrated model for risk management in electricity trade," Energy, Elsevier, vol. 124(C), pages 350-363.
    6. Awopone, Albert K. & Zobaa, Ahmed F. & Banuenumah, Walter, 2017. "Techno-economic and environmental analysis of power generation expansion plan of Ghana," Energy Policy, Elsevier, vol. 104(C), pages 13-22.
    7. Koltsaklis, Nikolaos E. & Dagoumas, Athanasios S. & Panapakidis, Ioannis P., 2017. "Impact of the penetration of renewables on flexibility needs," Energy Policy, Elsevier, vol. 109(C), pages 360-369.
    8. Hemmati, Reza & Saboori, Hedayat & Jirdehi, Mehdi Ahmadi, 2016. "Multistage generation expansion planning incorporating large scale energy storage systems and environmental pollution," Renewable Energy, Elsevier, vol. 97(C), pages 636-645.
    9. 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.
    10. John Kabouris & Fotis D. Kanellos, 2009. "Impacts of Large Scale Wind Penetration on Energy Supply Industry," Energies, MDPI, vol. 2(4), pages 1-11, November.
    11. Carlos Benavides & Luis Gonzales & Manuel Diaz & Rodrigo Fuentes & Gonzalo García & Rodrigo Palma-Behnke & Catalina Ravizza, 2015. "The Impact of a Carbon Tax on the Chilean Electricity Generation Sector," Energies, MDPI, vol. 8(4), pages 1-27, April.
    12. Kanagawa, Makoto & Nakata, Toshihiko, 2006. "Analysis of the impact of electricity grid interconnection between Korea and Japan--Feasibility study for energy network in Northeast Asia," Energy Policy, Elsevier, vol. 34(9), pages 1015-1025, June.
    13. 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.
    14. Lynch, Muireann Á. & Tol, Richard S.J. & O'Malley, Mark J., 2012. "Optimal interconnection and renewable targets for north-west Europe," Energy Policy, Elsevier, vol. 51(C), pages 605-617.
    15. Fischhendler, Itay & Herman, Lior & Anderman, Jaya, 2016. "The geopolitics of cross-border electricity grids: The Israeli-Arab case," Energy Policy, Elsevier, vol. 98(C), pages 533-543.
    16. 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.
    17. 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.
    18. David Olave-Rojas & Eduardo Álvarez-Miranda & Alejandro Rodríguez & Claudio Tenreiro, 2017. "An Optimization Framework for Investment Evaluation of Complex Renewable Energy Systems," Energies, MDPI, vol. 10(7), pages 1-26, July.
    19. Lena Ahmadi & Ali Elkamel & Sabah A. Abdul-Wahab & Michael Pan & Eric Croiset & Peter L. Douglas & Evgueniy Entchev, 2015. "Multi-Period Optimization Model for Electricity Generation Planning Considering Plug-in Hybrid Electric Vehicle Penetration," Energies, MDPI, vol. 8(5), pages 1-25, May.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Koltsaklis, Nikolaos E. & Dagoumas, Athanasios S., 2018. "State-of-the-art generation expansion planning: A review," Applied Energy, Elsevier, vol. 230(C), pages 563-589.
    2. 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.
    3. Koltsaklis, Nikolaos E. & Dagoumas, Athanasios S., 2018. "Incorporating unit commitment aspects to the European electricity markets algorithm: An optimization model for the joint clearing of energy and reserve markets," Applied Energy, Elsevier, vol. 231(C), pages 235-258.
    4. Nikolaos Koltsaklis & Athanasios Dagoumas, 2018. "Policy Implications of Power Exchanges on Operational Scheduling: Evaluating EUPHEMIA’s Market Products in Case of Greece," Energies, MDPI, vol. 11(10), pages 1-26, October.
    5. Ji, Ling & Huang, Guo-He & Xie, Yu-Lei & Niu, Dong-Xiao & Song, Yi-Hang, 2017. "Explicit cost-risk tradeoff for renewable portfolio standard constrained regional power system expansion: A case study of Guangdong Province, China," Energy, Elsevier, vol. 131(C), pages 125-136.
    6. Chandra Ade Irawan & Peter S. Hofman & Hing Kai Chan & Antony Paulraj, 2022. "A stochastic programming model for an energy planning problem: formulation, solution method and application," Annals of Operations Research, Springer, vol. 311(2), pages 695-730, April.
    7. Vrionis, Constantinos & Tsalavoutis, Vasilios & Tolis, Athanasios, 2020. "A Generation Expansion Planning model for integrating high shares of renewable energy: A Meta-Model Assisted Evolutionary Algorithm approach," Applied Energy, Elsevier, vol. 259(C).
    8. 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.
    9. repec:eco:journ2:2017-04-08 is not listed on IDEAS
    10. Dagoumas, Athanasios S. & Koltsaklis, Nikolasos E. & Panapakidis, Ioannis P., 2017. "An integrated model for risk management in electricity trade," Energy, Elsevier, vol. 124(C), pages 350-363.
    11. Cristian Mardones, 2021. "Analysis on complementarity between a CO2 tax and an emissions trading system to reduce industrial emissions in Chile," Energy & Environment, , vol. 32(5), pages 820-833, August.
    12. Mardones, Cristian & Flores, Belén, 2018. "Effectiveness of a CO2 tax on industrial emissions," Energy Economics, Elsevier, vol. 71(C), pages 370-382.
    13. Goudarzi, Arman & Swanson, Andrew G. & Van Coller, John & Siano, Pierluigi, 2017. "Smart real-time scheduling of generating units in an electricity market considering environmental aspects and physical constraints of generators," Applied Energy, Elsevier, vol. 189(C), pages 667-696.
    14. Amigo, Pía & Cea-Echenique, Sebastián & Feijoo, Felipe, 2021. "A two stage cap-and-trade model with allowance re-trading and capacity investment: The case of the Chilean NDC targets," Energy, Elsevier, vol. 224(C).
    15. Dranka, Géremi Gilson & Ferreira, Paula & Vaz, A. Ismael F., 2021. "A review of co-optimization approaches for operational and planning problems in the energy sector," Applied Energy, Elsevier, vol. 304(C).
    16. Babatunde, Kazeem Alasinrin & Begum, Rawshan Ara & Said, Fathin Faizah, 2017. "Application of computable general equilibrium (CGE) to climate change mitigation policy: A systematic review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 78(C), pages 61-71.
    17. Olave-Rojas, David & Álvarez-Miranda, Eduardo, 2021. "Towards a complex investment evaluation framework for renewable energy systems: A 2-level heuristic approach," Energy, Elsevier, vol. 228(C).
    18. Dagoumas, Athanasios S. & Polemis, Michael L., 2017. "An integrated model for assessing electricity retailer’s profitability with demand response," Applied Energy, Elsevier, vol. 198(C), pages 49-64.
    19. Radhanon Diewvilai & Kulyos Audomvongseree, 2022. "Optimal Loss of Load Expectation for Generation Expansion Planning Considering Fuel Unavailability," Energies, MDPI, vol. 15(21), pages 1-17, October.
    20. 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.
    21. Scott, Ian J. & Carvalho, Pedro M.S. & Botterud, Audun & Silva, Carlos A., 2019. "Clustering representative days for power systems generation expansion planning: Capturing the effects of variable renewables and energy storage," Applied Energy, Elsevier, vol. 253(C), pages 1-1.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:spr:operea:v:21:y:2021:i:1:d:10.1007_s12351-018-0440-z. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.