IDEAS home Printed from https://ideas.repec.org/a/eee/enepol/v109y2017icp360-369.html
   My bibliography  Save this article

Impact of the penetration of renewables on flexibility needs

Author

Listed:
  • Koltsaklis, Nikolaos E.
  • Dagoumas, Athanasios S.
  • Panapakidis, Ioannis P.

Abstract

The paper aims to quantify the impact of the penetration of renewables on the flexibility needs and their price signal. It uses a generic Mixed Integer Linear Programming (MILP) model that integrates long-term power system planning with a Unit Commitment (UC) model, which performs the simulation of the Day-Ahead Electricity Market (DAEM). The integrated model evaluates the need of flexibility services, under different conditions of renewable penetration. A case study of the Greek interconnected electric system is examined. Results show that the main flexibility needs concern photovoltaics causing the sunset effect, while the needs from stochastic wind are alleviated from the fact that wind output is de-linked from the demand evolution and that wind installations’ positions are diversified. The identification of flexibility needs from the Transmission System Operators (TSOs) require detailed data to depict the spatial and technical characteristics of each power system, which can reveal that ramping rates, and not just the magnitude of ramping capacity, can be an important flexibility requirement, due to large single-hour ramp contribution in some months. Such an analysis can also reveal the options for increasing flexibility, which are power system specific.

Suggested Citation

  • 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.
    • Handle: RePEc:eee:enepol:v:109:y:2017:i:c:p:360-369
    DOI: 10.1016/j.enpol.2017.07.026
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0301421517304573
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.enpol.2017.07.026?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. Batalla-Bejerano, Joan & Trujillo-Baute, Elisa, 2016. "Impacts of intermittent renewable generation on electricity system costs," Energy Policy, Elsevier, vol. 94(C), pages 411-420.
    2. Aiguo Tan & Xiangning Lin & Jinwen Sun & Ran Lyu & Zhengtian Li & Long Peng & Muhammad Shoaib Khalid, 2016. "A Novel DFIG Damping Control for Power System with High Wind Power Penetration," Energies, MDPI, vol. 9(7), pages 1-15, July.
    3. Kondziella, Hendrik & Bruckner, Thomas, 2016. "Flexibility requirements of renewable energy based electricity systems – a review of research results and methodologies," Renewable and Sustainable Energy Reviews, Elsevier, vol. 53(C), pages 10-22.
    4. Panapakidis, Ioannis P. & Dagoumas, Athanasios S., 2016. "Day-ahead electricity price forecasting via the application of artificial neural network based models," Applied Energy, Elsevier, vol. 172(C), pages 132-151.
    5. Welsch, Manuel & Deane, Paul & Howells, Mark & Ó Gallachóir, Brian & Rogan, Fionn & Bazilian, Morgan & Rogner, Hans-Holger, 2014. "Incorporating flexibility requirements into long-term energy system models – A case study on high levels of renewable electricity penetration in Ireland," Applied Energy, Elsevier, vol. 135(C), pages 600-615.
    6. Welling, Andreas, 2016. "The paradox effects of uncertainty and flexibility on investment in renewables under governmental support," European Journal of Operational Research, Elsevier, vol. 251(3), pages 1016-1028.
    7. Alizadeh, M.I. & Parsa Moghaddam, M. & Amjady, N. & Siano, P. & Sheikh-El-Eslami, M.K., 2016. "Flexibility in future power systems with high renewable penetration: A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 57(C), pages 1186-1193.
    8. Denholm, Paul & Hand, Maureen, 2011. "Grid flexibility and storage required to achieve very high penetration of variable renewable electricity," Energy Policy, Elsevier, vol. 39(3), pages 1817-1830, March.
    9. Papaefthymiou, G. & Dragoon, Ken, 2016. "Towards 100% renewable energy systems: Uncapping power system flexibility," Energy Policy, Elsevier, vol. 92(C), pages 69-82.
    10. van der Weijde, Adriaan Hendrik & Hobbs, Benjamin F., 2012. "The economics of planning electricity transmission to accommodate renewables: Using two-stage optimisation to evaluate flexibility and the cost of disregarding uncertainty," Energy Economics, Elsevier, vol. 34(6), pages 2089-2101.
    11. 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.
    12. Kubik, M.L. & Coker, P.J. & Barlow, J.F., 2015. "Increasing thermal plant flexibility in a high renewables power system," Applied Energy, Elsevier, vol. 154(C), pages 102-111.
    13. 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.
    14. Lund, Peter D. & Lindgren, Juuso & Mikkola, Jani & Salpakari, Jyri, 2015. "Review of energy system flexibility measures to enable high levels of variable renewable electricity," Renewable and Sustainable Energy Reviews, Elsevier, vol. 45(C), pages 785-807.
    15. Frew, Bethany A. & Becker, Sarah & Dvorak, Michael J. & Andresen, Gorm B. & Jacobson, Mark Z., 2016. "Flexibility mechanisms and pathways to a highly renewable US electricity future," Energy, Elsevier, vol. 101(C), pages 65-78.
    16. Devlin, Joseph & Li, Kang & Higgins, Paraic & Foley, Aoife, 2016. "The importance of gas infrastructure in power systems with high wind power penetrations," Applied Energy, Elsevier, vol. 167(C), pages 294-304.
    17. 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.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Mararakanye, Ndamulelo & Bekker, Bernard, 2019. "Renewable energy integration impacts within the context of generator type, penetration level and grid characteristics," Renewable and Sustainable Energy Reviews, Elsevier, vol. 108(C), pages 441-451.
    2. repec:eco:journ2:2017-04-08 is not listed on IDEAS
    3. Marta Poncela & Arturs Purvins & Stamatios Chondrogiannis, 2018. "Pan-European Analysis on Power System Flexibility," Energies, MDPI, vol. 11(7), pages 1-19, July.
    4. Michel Noussan & Roberta Roberto & Benedetto Nastasi, 2018. "Performance Indicators of Electricity Generation at Country Level—The Case of Italy," Energies, MDPI, vol. 11(3), pages 1-14, March.
    5. Deng, Xu & Lv, Tao & Hou, Xiaoran & Xu, Jie & Pi, Duyang & Liu, Feng & Li, Na, 2022. "Regional disparity of flexibility options for integrating variable renewable energy," Renewable Energy, Elsevier, vol. 192(C), pages 641-654.
    6. Andrea Molocchi, 2023. "Valuing the social cost of carbon: Do economists really care about climate change?," ECONOMICS AND POLICY OF ENERGY AND THE ENVIRONMENT, FrancoAngeli Editore, vol. 2023(2), pages 41-76.
    7. 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.
    8. Athanasios Dagoumas, 2019. "Assessing the Impact of Cybersecurity Attacks on Power Systems," Energies, MDPI, vol. 12(4), pages 1-23, February.
    9. Simone Minniti & Niyam Haque & Phuong Nguyen & Guus Pemen, 2018. "Local Markets for Flexibility Trading: Key Stages and Enablers," Energies, MDPI, vol. 11(11), pages 1-21, November.
    10. Dranka, Géremi Gilson & Ferreira, Paula & Vaz, A. Ismael F., 2021. "Integrating supply and demand-side management in renewable-based energy systems," Energy, Elsevier, vol. 232(C).
    11. Panagiotis Adraktas & Athanasios Dagoumas, 2019. "Integration of Electric Vehicles in the Unit Commitment Problem with Uncertain Renewable Electricity Generation," International Journal of Energy Economics and Policy, Econjournals, vol. 9(2), pages 315-333.
    12. Komorowska, Aleksandra & Benalcazar, Pablo & Kaszyński, Przemysław & Kamiński, Jacek, 2020. "Economic consequences of a capacity market implementation: The case of Poland," Energy Policy, Elsevier, vol. 144(C).
    13. Laureen Deman & Quentin Boucher & Sonia Djebali & Guillaume Guerard & C?dric Clastres, 2023. "Bidding strategy of storage hydropower plants in reserve markets," ECONOMICS AND POLICY OF ENERGY AND THE ENVIRONMENT, FrancoAngeli Editore, vol. 2023(2), pages 77-101.
    14. Martha N. Acosta & Francisco Gonzalez-Longatt & Juan Manuel Roldan-Fernandez & Manuel Burgos-Payan, 2021. "A Coordinated Control of Offshore Wind Power and BESS to Provide Power System Flexibility," Energies, MDPI, vol. 14(15), pages 1-17, July.
    15. Mou, Yuting & Papavasiliou, Anthony & Hartz, Katharina & Dusolt, Alexander & Redl, Christian, 2023. "An analysis of shortage pricing and capacity remuneration mechanisms on the pan-European common energy market," Energy Policy, Elsevier, vol. 183(C).
    16. 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.

    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. Dagoumas, Athanasios S. & Koltsaklis, Nikolaos E., 2019. "Review of models for integrating renewable energy in the generation expansion planning," Applied Energy, Elsevier, vol. 242(C), pages 1573-1587.
    2. Oree, Vishwamitra & Sayed Hassen, Sayed Z., 2016. "A composite metric for assessing flexibility available in conventional generators of power systems," Applied Energy, Elsevier, vol. 177(C), pages 683-691.
    3. Chen, Siyuan & Liu, Pei & Li, Zheng, 2020. "Low carbon transition pathway of power sector with high penetration of renewable energy," Renewable and Sustainable Energy Reviews, Elsevier, vol. 130(C).
    4. Zhao, Yongliang & Liu, Ming & Wang, Chaoyang & Li, Xin & Chong, Daotong & Yan, Junjie, 2018. "Increasing operational flexibility of supercritical coal-fired power plants by regulating thermal system configuration during transient processes," Applied Energy, Elsevier, vol. 228(C), pages 2375-2386.
    5. Dahlke, Steven & Sterling, John & Meehan, Colin, 2019. "Policy and market drivers for advancing clean energy," OSF Preprints hsbry, Center for Open Science.
    6. Andrychowicz, Mateusz & Olek, Blazej & Przybylski, Jakub, 2017. "Review of the methods for evaluation of renewable energy sources penetration and ramping used in the Scenario Outlook and Adequacy Forecast 2015. Case study for Poland," Renewable and Sustainable Energy Reviews, Elsevier, vol. 74(C), pages 703-714.
    7. 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.
    8. 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.
    9. 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.
    10. Perera, A.T.D. & Nik, Vahid M. & Wickramasinghe, P.U. & Scartezzini, Jean-Louis, 2019. "Redefining energy system flexibility for distributed energy system design," Applied Energy, Elsevier, vol. 253(C), pages 1-1.
    11. Stinner, Sebastian & Huchtemann, Kristian & Müller, Dirk, 2016. "Quantifying the operational flexibility of building energy systems with thermal energy storages," Applied Energy, Elsevier, vol. 181(C), pages 140-154.
    12. Abdilahi, Abdirahman M. & Mustafa, Mohd Wazir & Abujarad, Saleh Y. & Mustapha, Mamunu, 2018. "Harnessing flexibility potential of flexible carbon capture power plants for future low carbon power systems: Review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 81(P2), pages 3101-3110.
    13. Collins, Seán & Deane, John Paul & Poncelet, Kris & Panos, Evangelos & Pietzcker, Robert C. & Delarue, Erik & Ó Gallachóir, Brian Pádraig, 2017. "Integrating short term variations of the power system into integrated energy system models: A methodological review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 76(C), pages 839-856.
    14. Harder, Nick & Qussous, Ramiz & Weidlich, Anke, 2020. "The cost of providing operational flexibility from distributed energy resources," Applied Energy, Elsevier, vol. 279(C).
    15. Blanco, Herib & Faaij, André, 2018. "A review at the role of storage in energy systems with a focus on Power to Gas and long-term storage," Renewable and Sustainable Energy Reviews, Elsevier, vol. 81(P1), pages 1049-1086.
    16. 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.
    17. Jenkins, J.D. & Zhou, Z. & Ponciroli, R. & Vilim, R.B. & Ganda, F. & de Sisternes, F. & Botterud, A., 2018. "The benefits of nuclear flexibility in power system operations with renewable energy," Applied Energy, Elsevier, vol. 222(C), pages 872-884.
    18. Kopiske, Jakob & Spieker, Sebastian & Tsatsaronis, George, 2017. "Value of power plant flexibility in power systems with high shares of variable renewables: A scenario outlook for Germany 2035," Energy, Elsevier, vol. 137(C), pages 823-833.
    19. Teirilä, Juha, 2020. "The value of the nuclear power plant fleet in the German power market under the expansion of fluctuating renewables," Energy Policy, Elsevier, vol. 136(C).
    20. Arabzadeh, Vahid & Miettinen, Panu & Kotilainen, Titta & Herranen, Pasi & Karakoc, Alp & Kummu, Matti & Rautkari, Lauri, 2023. "Urban vertical farming with a large wind power share and optimised electricity costs," Applied Energy, Elsevier, vol. 331(C).

    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:eee:enepol:v:109:y:2017:i:c:p:360-369. 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: Catherine Liu (email available below). General contact details of provider: http://www.elsevier.com/locate/enpol .

    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.