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Behavior analysis of wind power producer in electricity market

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  • Xiao, Yunpeng
  • Wang, Xifan
  • Wang, Xiuli
  • Dang, Can
  • Lu, Ming

Abstract

Renewable energy generation plays an important role in exploiting renewable energy towards green economy. The electricity market should be not only reevaluated with the coming of renewable energy, but also modified for maintaining market fairness and better utilization of renewable energy. Based on a Stackelberg game model, this paper puts forward a closed-form analysis on wind power producer’s (WPP’s) behavior in the electricity market involving large scale wind power. The WPP acts as a price-maker in DA market and a deviator in RT balancing market. The analytical expression of WPP’s behavior indicates how a WPP takes an action under various market regulations and statuses, including bidding regulations, deviation settlements, demand elasticity, market capacity, and renewable subsidy. Furthermore, the two-part compound bidding mode is verified and recommended for restraining WPP’s market power when considering ramping constraints of conventional units. The presented models are validated using real-world data based on the IEEE 118-bus test system. Conclusions provide beneficial references for policy formulation of electricity market involving large scale wind power.

Suggested Citation

  • Xiao, Yunpeng & Wang, Xifan & Wang, Xiuli & Dang, Can & Lu, Ming, 2016. "Behavior analysis of wind power producer in electricity market," Applied Energy, Elsevier, vol. 171(C), pages 325-335.
    • Handle: RePEc:eee:appene:v:171:y:2016:i:c:p:325-335
    DOI: 10.1016/j.apenergy.2016.03.021
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    1. Li, Gong & Shi, Jing, 2012. "Agent-based modeling for trading wind power with uncertainty in the day-ahead wholesale electricity markets of single-sided auctions," Applied Energy, Elsevier, vol. 99(C), pages 13-22.
    2. Stigson, Peter & Dotzauer, Erik & Yan, Jinyue, 2009. "Improving policy making through government-industry policy learning: The case of a novel Swedish policy framework," Applied Energy, Elsevier, vol. 86(4), pages 399-406, April.
    3. Forrest, Sam & MacGill, Iain, 2013. "Assessing the impact of wind generation on wholesale prices and generator dispatch in the Australian National Electricity Market," Energy Policy, Elsevier, vol. 59(C), pages 120-132.
    4. Wang, Qi & Zhang, Chunyu & Ding, Yi & Xydis, George & Wang, Jianhui & Østergaard, Jacob, 2015. "Review of real-time electricity markets for integrating Distributed Energy Resources and Demand Response," Applied Energy, Elsevier, vol. 138(C), pages 695-706.
    5. Ketterer, Janina C., 2014. "The impact of wind power generation on the electricity price in Germany," Energy Economics, Elsevier, vol. 44(C), pages 270-280.
    6. Chaves-Ávila, José Pablo & Hakvoort, Rudi A. & Ramos, Andrés, 2013. "Short-term strategies for Dutch wind power producers to reduce imbalance costs," Energy Policy, Elsevier, vol. 52(C), pages 573-582.
    7. Saidur, R. & Islam, M.R. & Rahim, N.A. & Solangi, K.H., 2010. "A review on global wind energy policy," Renewable and Sustainable Energy Reviews, Elsevier, vol. 14(7), pages 1744-1762, September.
    8. Zhao, Haoran & Wu, Qiuwei & Hu, Shuju & Xu, Honghua & Rasmussen, Claus Nygaard, 2015. "Review of energy storage system for wind power integration support," Applied Energy, Elsevier, vol. 137(C), pages 545-553.
    9. Twomey, Paul & Neuhoff, Karsten, 2010. "Wind power and market power in competitive markets," Energy Policy, Elsevier, vol. 38(7), pages 3198-3210, July.
    10. Fama, Eugene F., 1998. "Market efficiency, long-term returns, and behavioral finance," Journal of Financial Economics, Elsevier, vol. 49(3), pages 283-306, September.
    11. Mundaca, Luis & Román, Rocio & Cansino, José M., 2015. "Towards a Green Energy Economy? A macroeconomic-climate evaluation of Sweden’s CO2 emissions," Applied Energy, Elsevier, vol. 148(C), pages 196-209.
    12. Pinson, P. & Girard, R., 2012. "Evaluating the quality of scenarios of short-term wind power generation," Applied Energy, Elsevier, vol. 96(C), pages 12-20.
    13. Vilim, Michael & Botterud, Audun, 2014. "Wind power bidding in electricity markets with high wind penetration," Applied Energy, Elsevier, vol. 118(C), pages 141-155.
    14. Rahimiyan, Morteza & Morales, Juan M. & Conejo, Antonio J., 2011. "Evaluating alternative offering strategies for wind producers in a pool," Applied Energy, Elsevier, vol. 88(12), pages 4918-4926.
    15. Pereira, Adelino J.C. & Saraiva, João Tomé, 2013. "Long term impact of wind power generation in the Iberian day-ahead electricity market price," Energy, Elsevier, vol. 55(C), pages 1159-1171.
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