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Risk Reserve Constrained Economic Dispatch Model with Wind Power Penetration

Author

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  • Wei Zhou

    (Department of Electrical and Electronics Engineering, Dalian University of Technology, Dalian, 116024, China)

  • Hui Sun

    (Department of Electrical and Electronics Engineering, Dalian University of Technology, Dalian, 116024, China)

  • Yu Peng

    (Department of Electrical and Electronics Engineering, Dalian University of Technology, Dalian, 116024, China)

Abstract

This paper develops a modified economic dispatch (ED) optimization model with wind power penetration. Due to the uncertain nature of wind speed, both overestimation and underestimation of the available wind power are compensated using the up and down spinning reserves. In order to determine both of these two reserve demands, the risk-based up and down spinning reserve constraints are presented considering not only the uncertainty of available wind power, but also the load forecast error and generator outage rates. The predictor-corrector primal-dual interior point (IP) method is utilized to solve the proposed ED model. Simulation results of a system with ten conventional generators and one wind farm demonstrate the effectiveness of the proposed method.

Suggested Citation

  • Wei Zhou & Hui Sun & Yu Peng, 2010. "Risk Reserve Constrained Economic Dispatch Model with Wind Power Penetration," Energies, MDPI, vol. 3(12), pages 1-15, December.
    • Handle: RePEc:gam:jeners:v:3:y:2010:i:12:p:1880-1894:d:10469
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    References listed on IDEAS

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    1. Zhao, M. & Chen, Z. & Blaabjerg, F., 2006. "Probabilistic capacity of a grid connected wind farm based on optimization method," Renewable Energy, Elsevier, vol. 31(13), pages 2171-2187.
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    Cited by:

    1. Xie, Min & Ji, Xiang & Hu, Xintong & Cheng, Peijun & Du, Yuxin & Liu, Mingbo, 2018. "Autonomous optimized economic dispatch of active distribution system with multi-microgrids," Energy, Elsevier, vol. 153(C), pages 479-489.
    2. Jin, Xin & Zhang, Zhaolong & Shi, Xiaoqiang & Ju, Wenbin, 2014. "A review on wind power industry and corresponding insurance market in China: Current status and challenges," Renewable and Sustainable Energy Reviews, Elsevier, vol. 38(C), pages 1069-1082.
    3. Ying-Yi Hong & Gerard Francesco DG. Apolinario, 2021. "Uncertainty in Unit Commitment in Power Systems: A Review of Models, Methods, and Applications," Energies, MDPI, vol. 14(20), pages 1-47, October.
    4. Kyung-bin Kwon & Hyeongon Park & Jae-Kun Lyu & Jong-Keun Park, 2016. "Cost Analysis Method for Estimating Dynamic Reserve Considering Uncertainties in Supply and Demand," Energies, MDPI, vol. 9(10), pages 1-16, October.
    5. Wushan Cheng & Haifeng Zhang, 2014. "A Dynamic Economic Dispatch Model Incorporating Wind Power Based on Chance Constrained Programming," Energies, MDPI, vol. 8(1), pages 1-24, December.
    6. Li, Cun-bin & Li, Peng & Feng, Xia, 2014. "Analysis of wind power generation operation management risk in China," Renewable Energy, Elsevier, vol. 64(C), pages 266-275.

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