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Optimal Available Transfer Capability Assessment Strategy for Wind Integrated Transmission Systems Considering Uncertainty of Wind Power Probability Distribution

Author

Listed:
  • Jun Xie

    (College of Automation, Nanjing University of Posts and Telecommunications, Nanjing 210023, China)

  • Lu Wang

    (College of Automation, Nanjing University of Posts and Telecommunications, Nanjing 210023, China)

  • Qiaoyan Bian

    (State Grid Zhejiang Electric Power Company, Hangzhou 310007, China)

  • Xiaohua Zhang

    (School of Urban Rail Transportation, Changzhou University, Changzhou 213164, China)

  • Dan Zeng

    (China Electric Power Research Institute (Nanjing), Nanjing 210003, China)

  • Ke Wang

    (China Electric Power Research Institute (Nanjing), Nanjing 210003, China)

Abstract

Wind power prediction research shows that it is difficult to accurately and effectively estimate the probability distribution (PD) of wind power. When only partial information of the wind power probability distribution function is available, an optimal available transfer capability ( ATC ) assessment strategy considering the uncertainty on the wind power probability distribution is proposed in this paper. As wind power probability distribution is not accurately given, the proposed strategy can efficiently maximize ATC with the security operation constraints satisfied under any wind power PD function case in the uncertainty set. A distributional robust chance constrained (DRCC) model is developed to describe an optimal ATC assessment problem. To achieve tractability of the DRCC model, the dual optimization, S-lemma and Schur complement are adopted to eliminate the uncertain wind power vector in the DRCC model. According to the characteristics of the problem, the linear matrix inequality (LMI)-based particle swarm optimization (PSO) algorithm is used to solve the DRCC model which contains first and second-order moment information of the wind power. The modified IEEE 30-bus system simulation results show the feasibility and effectiveness of the proposed ATC assessment strategy.

Suggested Citation

  • Jun Xie & Lu Wang & Qiaoyan Bian & Xiaohua Zhang & Dan Zeng & Ke Wang, 2016. "Optimal Available Transfer Capability Assessment Strategy for Wind Integrated Transmission Systems Considering Uncertainty of Wind Power Probability Distribution," Energies, MDPI, vol. 9(9), pages 1-18, September.
    • Handle: RePEc:gam:jeners:v:9:y:2016:i:9:p:704-:d:77176
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    References listed on IDEAS

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    1. Zhao, Pan & Wang, Jiangfeng & Dai, Yiping, 2015. "Capacity allocation of a hybrid energy storage system for power system peak shaving at high wind power penetration level," Renewable Energy, Elsevier, vol. 75(C), pages 541-549.
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