Robust Unit Commitment to Improve the Admissible Region of Wind Power

被引:0
|
作者
Wu W. [1 ]
Wang K. [1 ]
Li G. [1 ]
Fan L. [1 ]
Wang Y. [2 ]
机构
[1] Department of Electrical Engineering, Shanghai Jiao Tong University, Shanghai
[2] China Electric Power Research Institute, Beijing
关键词
Admissible region of wind power; Affinely adjustable robust optimization; Cogeneration system; Mixed integer linear programming;
D O I
10.19595/j.cnki.1000-6753.tces.161633
中图分类号
学科分类号
摘要
Traditional dispatch methods based on day-ahead point forecast of wind power do not consider the uncertainty appropriately. As a result, the potential of accommodating wind power cannot be fully exploited. This paper proposes the robust unit commitment to improve the admissible region of wind power. The valid admissible region of wind generation is constructed based on the available wind generation interval. An affinely adjustable robust unit commitment model is constructed considering the electro-thermal coupling of the cogeneration systems. The proposed model seeks to maximize the admissible region and guarantees the feasibility within the admissible region. The proposed model can be transformed into the mixed integer linear programming. Finally, the proposed method is compared with the traditional dispatch method and validated using the modified IEEE 39-bus system. The simulation results verify the effectiveness of the proposed method. © 2018, Electrical Technology Press Co. Ltd. All right reserved.
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收藏
页码:523 / 532
页数:9
相关论文
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  • [1] Yu D., Sun X., Gao B., Et al., Coordinated optimization model for wind power integration considering wind power uncertainty output, Transactions of China Electrotechnical Society, 31, 9, pp. 34-41, (2016)
  • [2] Zhang J., Xu X., Huang Y., Et al., Optimal proportion study of wind and PV capacity in Ningxia power grid based on time sequence simulation, Power System Protection and Control, 42, 19, pp. 81-86, (2014)
  • [3] Lu P., Wen B., Jiang Y., Study on optimization of spinning reserve in wind power integrated power system based on multiple timescale and unit commitment coordination, Power System Protection and Control, 43, 5, pp. 94-100, (2015)
  • [4] Yang J., Lei Y., Long M., Et al., Study of unit commitment considering the uncertainty of wind farm and load, Power System Protection and Control, 42, 3, pp. 63-70, (2014)
  • [5] Ai X., Han X., Wen J., Et al., Robust unit commitment considering wind power ramp events, Transactions of China Electrotechnical Society, 30, 24, pp. 188-195, (2015)
  • [6] Chen J., Wu W., Zhang B., Et al., A rolling generation dispatch strategy for co-generation units accommodating large-scale wind power integration, Automation of Electric Power systems, 36, 24, pp. 21-27, (2013)
  • [7] Lu Z., Sui Y., Feng T., Et al., Wind power accommodation low-carbon economic dispatch considering heat accumulator and carbon capture devices, Transactions of China Electrotechnical Society, 31, 17, pp. 41-51, (2016)
  • [8] Li Z., Wu W., Shahidehpour M., Et al., Combined heat and power dispatch considering pipeline energy storage of district heating network, IEEE Transactions on Sustainable Energy, 7, 1, pp. 12-22, (2016)
  • [9] Wang C., Liu F., Qiu F., Et al., Robust unit commitment considering strategic wind generation curtailment, 2016 IEEE PES General Meeting Conference & Exposition, pp. 1-5, (2016)
  • [10] Wang C., Liu F., Wang J., Et al., Robust risk-constrained unit commitment with large-scale wind generation: an adjustable uncertainty set approach, IEEE Transactions on Power Systems, 32, 1, pp. 723-733, (2017)