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Dispatching intermittent wind resources for ancillary services via wind control and its impact on power system economics

Author

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  • Nock, Destenie
  • Krishnan, Venkat
  • McCalley, James D.

Abstract

This paper focuses on assessing the effectiveness of wind control methods used to address the economic issues associated with higher penetration of variable (wind) generation. Two different wind control methods were implemented, namely maximum power limitation and delta control. Production costing simulations were done on IEEE 24 bus system with three wind farms, across different wind penetration levels to evaluate the impacts of wind control methods. Wind farms were allowed to participate in the ancillary service market while implementing the variable delta control. Results showed that these control methods have the potential to allow wind farm provide regulation or significantly lower regulation requirements, and reduce the overall production cost of the power system.

Suggested Citation

  • Nock, Destenie & Krishnan, Venkat & McCalley, James D., 2014. "Dispatching intermittent wind resources for ancillary services via wind control and its impact on power system economics," Renewable Energy, Elsevier, vol. 71(C), pages 396-400.
    • Handle: RePEc:eee:renene:v:71:y:2014:i:c:p:396-400
    DOI: 10.1016/j.renene.2014.05.058
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    Citations

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    Cited by:

    1. Sergio Martín‐Martínez & Alberto Lorenzo‐Bonache & Andrés Honrubia‐Escribano & Miguel Cañas‐Carretón & Emilio Gómez‐Lázaro, 2018. "Contribution of wind energy to balancing markets: The case of Spain," Wiley Interdisciplinary Reviews: Energy and Environment, Wiley Blackwell, vol. 7(5), September.
    2. Selin Kocaman, Ayse & Abad, Carlos & Troy, Tara J. & Tim Huh, Woonghee & Modi, Vijay, 2016. "A stochastic model for a macroscale hybrid renewable energy system," Renewable and Sustainable Energy Reviews, Elsevier, vol. 54(C), pages 688-703.
    3. Yin, Guangzhi & Duan, Maosheng, 2022. "Pricing the deep peak regulation service of coal-fired power plants to promote renewable energy integration," Applied Energy, Elsevier, vol. 321(C).
    4. Ramirez, Dionisio & Martinez-Rodrigo, Fernando & de Pablo, Santiago & Carlos Herrero-de Lucas, Luis, 2017. "Assessment of a non linear current control technique applied to MMC-HVDC during grid disturbances," Renewable Energy, Elsevier, vol. 101(C), pages 945-963.
    5. Krishnan, Venkat & Das, Trishna, 2015. "Optimal allocation of energy storage in a co-optimized electricity market: Benefits assessment and deriving indicators for economic storage ventures," Energy, Elsevier, vol. 81(C), pages 175-188.
    6. Hu, Junfeng & Yan, Qingyou & Kahrl, Fredrich & Liu, Xu & Wang, Peng & Lin, Jiang, 2021. "Evaluating the ancillary services market for large-scale renewable energy integration in China's northeastern power grid," Utilities Policy, Elsevier, vol. 69(C).
    7. Nikolakakis, Thomas & Chattopadhyay, Deb & Bazilian, Morgan, 2017. "A review of renewable investment and power system operational issues in Bangladesh," Renewable and Sustainable Energy Reviews, Elsevier, vol. 68(P1), pages 650-658.
    8. Pousinho, H.M.I. & Esteves, J. & Mendes, V.M.F. & Collares-Pereira, M. & Pereira Cabrita, C., 2016. "Bilevel approach to wind-CSP day-ahead scheduling with spinning reserve under controllable degree of trust," Renewable Energy, Elsevier, vol. 85(C), pages 917-927.

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