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Operational flexibility of future generation portfolios with high renewables

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  • Vithayasrichareon, Peerapat
  • Riesz, Jenny
  • MacGill, Iain

Abstract

The costs and technical implications of thermal plant operating constraints within high renewable electricity systems are receiving growing attention. However, many future scenario modelling studies take limited consideration of such constraints. In this study, different generation portfolios were modelled over a year’s dispatch for the Australian National Electricity Market (NEM), to examine operational impacts and the costs of different power plant operating constraints. As the level of variable renewable energy (VRE) increases, thermal plants are subject to frequent cycling (ramp up/down and start/stop) as they are dispatched to accommodate the outputs of VRE. However, the extent of the operational impact depends on the mix of conventional technologies within the portfolio. Many coal and gas operational constraints were found to be inexpensive, even in a 85% renewable scenario with primarily wind and solar generation. The combined impact of ramp rate constraints, minimum generation constraints and start-up costs was found to add only 0.1–3% to total annual system costs. In contrast, a minimum synchronous generation (SG) constraint (intended to maintain minimum levels of system inertia) was found to have a significant impact on system costs when the renewable energy penetration exceeds 40%, and a moderate cost of greenhouse emissions is assumed. For a renewable share of less than 40%, the SG requirement has negligible impact since synchronous generators are already supplying at least 40% of the demand in each dispatch period. A 50% SG requirement increases total system cost by 20% in a 85% renewable portfolio. Similarly, costs are increased by 10% in a 60% renewable portfolio. This suggests significant value in investigating measures that minimize the need for a stringent SG constraint in a future carbon constrained world.

Suggested Citation

  • Vithayasrichareon, Peerapat & Riesz, Jenny & MacGill, Iain, 2017. "Operational flexibility of future generation portfolios with high renewables," Applied Energy, Elsevier, vol. 206(C), pages 32-41.
  • Handle: RePEc:eee:appene:v:206:y:2017:i:c:p:32-41
    DOI: 10.1016/j.apenergy.2017.08.164
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    1. Riesz, Jenny & Elliston, Ben, 2016. "Research and deployment priorities for renewable technologies: Quantifying the importance of various renewable technologies for low cost, high renewable electricity systems in an Australian case study," Energy Policy, Elsevier, vol. 98(C), pages 298-308.
    2. 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.
    3. Connolly, D. & Lund, H. & Mathiesen, B.V. & Leahy, M., 2010. "A review of computer tools for analysing the integration of renewable energy into various energy systems," Applied Energy, Elsevier, vol. 87(4), pages 1059-1082, April.
    4. 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.
    5. Pina, André & Silva, Carlos A. & Ferrão, Paulo, 2013. "High-resolution modeling framework for planning electricity systems with high penetration of renewables," Applied Energy, Elsevier, vol. 112(C), pages 215-223.
    6. Vithayasrichareon, Peerapat & MacGill, Iain F., 2013. "Assessing the value of wind generation in future carbon constrained electricity industries," Energy Policy, Elsevier, vol. 53(C), pages 400-412.
    7. Tielens, Pieter & Van Hertem, Dirk, 2016. "The relevance of inertia in power systems," Renewable and Sustainable Energy Reviews, Elsevier, vol. 55(C), pages 999-1009.
    8. Harry Markowitz, 1952. "Portfolio Selection," Journal of Finance, American Finance Association, vol. 7(1), pages 77-91, March.
    9. Vithayasrichareon, Peerapat & MacGill, Iain F., 2012. "A Monte Carlo based decision-support tool for assessing generation portfolios in future carbon constrained electricity industries," Energy Policy, Elsevier, vol. 41(C), pages 374-392.
    10. Zhang, Qi & Mclellan, Benjamin C. & Tezuka, Tetsuo & Ishihara, Keiichi N., 2013. "An integrated model for long-term power generation planning toward future smart electricity systems," Applied Energy, Elsevier, vol. 112(C), pages 1424-1437.
    11. Riesz, Jenny & Vithayasrichareon, Peerapat & MacGill, Iain, 2015. "Assessing “gas transition” pathways to low carbon electricity – An Australian case study," Applied Energy, Elsevier, vol. 154(C), pages 794-804.
    12. Vithayasrichareon, Peerapat & MacGill, Iain F., 2014. "Incorporating short-term operational plant constraints into assessments of future electricity generation portfolios," Applied Energy, Elsevier, vol. 128(C), pages 144-155.
    13. Vithayasrichareon, Peerapat & MacGill, Iain F., 2012. "Portfolio assessments for future generation investment in newly industrializing countries – A case study of Thailand," Energy, Elsevier, vol. 44(1), pages 1044-1058.
    14. 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.
    15. Papaefthymiou, G. & Dragoon, Ken, 2016. "Towards 100% renewable energy systems: Uncapping power system flexibility," Energy Policy, Elsevier, vol. 92(C), pages 69-82.
    16. Vithayasrichareon, Peerapat & Riesz, Jenny & MacGill, Iain F., 2015. "Using renewables to hedge against future electricity industry uncertainties—An Australian case study," Energy Policy, Elsevier, vol. 76(C), pages 43-56.
    17. Mc Garrigle, E.V. & Deane, J.P. & Leahy, P.G., 2013. "How much wind energy will be curtailed on the 2020 Irish power system?," Renewable Energy, Elsevier, vol. 55(C), pages 544-553.
    18. Jenny Riesz & Michael Milligan, 2015. "Designing electricity markets for a high penetration of variable renewables," Wiley Interdisciplinary Reviews: Energy and Environment, Wiley Blackwell, vol. 4(3), pages 279-289, May.
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    20. Mehigan, L. & Al Kez, Dlzar & Collins, Seán & Foley, Aoife & Ó’Gallachóir, Brian & Deane, Paul, 2020. "Renewables in the European power system and the impact on system rotational inertia," Energy, Elsevier, vol. 203(C).
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    22. Yang, Ting & Zhao, Yingjie & Pen, Haibo & Wang, Zhaoxia, 2018. "Data center holistic demand response algorithm to smooth microgrid tie-line power fluctuation," Applied Energy, Elsevier, vol. 231(C), pages 277-287.

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