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A new self-scheduling strategy for integrated operation of wind and pumped-storage power plants in power markets

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  • Varkani, Ali Karimi
  • Daraeepour, Ali
  • Monsef, Hassan

Abstract

Competitive structure of power markets causes various challenges for wind resources to participate in these markets. Indeed, production uncertainty is the main cause of their low income. Thus, they are usually supported by system operators, which is in contrast with the competitive paradigm of power markets. In this paper, a new strategy for increasing the profits of wind resources is proposed. In the suggested strategy, a Generation Company (GenCo), who owns both wind and pumped-storage plants, self-schedules the integrated operation of them regarding the uncertainty of wind power generation. For presenting an integrated self-schedule and obtaining a real added value of the strategy, participation of the GenCo in energy and ancillary service markets is modeled. The self-scheduling strategy is based on stochastic programming techniques. Outputs of the problem include generation offers in day-ahead energy market and ancillary service markets, including spinning and regulation reserve markets. A Neural Network (NN) based technique is used for modeling the uncertainty of wind power production. The proposed strategy is tested on a real wind farm in mainland, Spain. Moreover, added value of the strategy is presented in different conditions of the market.

Suggested Citation

  • Varkani, Ali Karimi & Daraeepour, Ali & Monsef, Hassan, 2011. "A new self-scheduling strategy for integrated operation of wind and pumped-storage power plants in power markets," Applied Energy, Elsevier, vol. 88(12), pages 5002-5012.
    • Handle: RePEc:eee:appene:v:88:y:2011:i:12:p:5002-5012
    DOI: 10.1016/j.apenergy.2011.06.043
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    References listed on IDEAS

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    1. Kapsali, M. & Kaldellis, J.K., 2010. "Combining hydro and variable wind power generation by means of pumped-storage under economically viable terms," Applied Energy, Elsevier, vol. 87(11), pages 3475-3485, November.
    2. Kaldellis, J.K. & Kapsali, M. & Kavadias, K.A., 2010. "Energy balance analysis of wind-based pumped hydro storage systems in remote island electrical networks," Applied Energy, Elsevier, vol. 87(8), pages 2427-2437, August.
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