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Short-term electricity planning with increase wind capacity

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  • Pereira, Sérgio
  • Ferreira, Paula
  • Vaz, A.I.F.

Abstract

The variable electricity output of the RES (renewable energy sources) power plants, such as wind and hydropower, is an important challenge for the electricity system managers. This paper addresses the problem of an electricity system supported mainly on hydro, thermal, and wind power plants. A binary mixed integer non-linear optimization model with hourly time step is described. The model is applied to a system close to the Portuguese electricity case assuming demand forecasts for the year 2020. The main objective of this paper was to analyze the impact that different levels of installed wind power can have in the operation of this electricity system, taking into account the hourly and intra-annual variation of the renewable resources, the demand projections and also the technical restriction of thermal power plants. The results confirmed wind power as strategic technology to reduce both the marginal cost and CO2 emissions. According to the simulations run, wind power will not replace hydropower but a decrease of thermal power production is foreseen as more wind power is added to the system. Large wind power scenarios will particularly affect gas power plants performance, reducing both the load level and the number of operating hours.

Suggested Citation

  • Pereira, Sérgio & Ferreira, Paula & Vaz, A.I.F., 2014. "Short-term electricity planning with increase wind capacity," Energy, Elsevier, vol. 69(C), pages 12-22.
    • Handle: RePEc:eee:energy:v:69:y:2014:i:c:p:12-22
    DOI: 10.1016/j.energy.2014.01.037
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    References listed on IDEAS

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    Cited by:

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    2. Pereira, Sérgio & Ferreira, Paula & Vaz, A.I.F., 2015. "A simplified optimization model to short-term electricity planning," Energy, Elsevier, vol. 93(P2), pages 2126-2135.
    3. Lynch & John Curtis, 2016. "The effects of wind generation capacity on electricity prices and generation costs: a Monte Carlo analysis," Applied Economics, Taylor & Francis Journals, vol. 48(2), pages 133-151, January.
    4. Curtis, John & Lynch, Muireann Á. & Zubiate, Laura, 2016. "The impact of the North Atlantic Oscillation on electricity markets: A case study on Ireland," Energy Economics, Elsevier, vol. 58(C), pages 186-198.
    5. Chen, J.J. & Zhuang, Y.B. & Li, Y.Z. & Wang, P. & Zhao, Y.L. & Zhang, C.S., 2017. "Risk-aware short term hydro-wind-thermal scheduling using a probability interval optimization model," Applied Energy, Elsevier, vol. 189(C), pages 534-554.
    6. Aliprandi, F. & Stoppato, A. & Mirandola, A., 2016. "Estimating CO2 emissions reduction from renewable energy use in Italy," Renewable Energy, Elsevier, vol. 96(PA), pages 220-232.
    7. Bellocchi, Sara & Gambini, Marco & Manno, Michele & Stilo, Tommaso & Vellini, Michela, 2018. "Positive interactions between electric vehicles and renewable energy sources in CO2-reduced energy scenarios: The Italian case," Energy, Elsevier, vol. 161(C), pages 172-182.
    8. Touš, Michal & Pavlas, Martin & Putna, Ondřej & Stehlík, Petr & Crha, Lukáš, 2015. "Combined heat and power production planning in a waste-to-energy plant on a short-term basis," Energy, Elsevier, vol. 90(P1), pages 137-147.
    9. Zeng, Ming & Yang, Yongqi & Fan, Qiannan & Liu, Yingxin & Zou, Zhuojun, 2015. "Coordination between clean energy generation and thermal power generation under the policy of “direct power-purchase for large users” in China," Utilities Policy, Elsevier, vol. 33(C), pages 10-22.
    10. Curtis, John & Lynch, Muireann Á. & Zubiate, Laura, 2016. "Carbon dioxide (CO2) emissions from electricity: The influence of the North Atlantic Oscillation," Applied Energy, Elsevier, vol. 161(C), pages 487-496.
    11. Pereira, Sérgio & Ferreira, Paula & Vaz, A.I.F., 2017. "Generation expansion planning with high share of renewables of variable output," Applied Energy, Elsevier, vol. 190(C), pages 1275-1288.
    12. Carlos Roberto de Sousa Costa & Paula Ferreira, 2023. "A Review on the Internalization of Externalities in Electricity Generation Expansion Planning," Energies, MDPI, vol. 16(4), pages 1-19, February.

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