Chance-constrained Optimal Wind Power Accommodation Point Considering Transmission Line Contingencies

被引：0
|
作者：
Chen Z. [1 ]
Zhang Y. [1 ]
Huang G. [2 ]
He Y. [1 ]
Guo C. [1 ]
Zhang J. [3 ]
机构：
[1] College of Electrical Engineering, Zhejiang University, Hangzhou, 310027, Zhejiang Province
[2] Zhejiang Lab, Hangzhou, 311121, Zhejiang Province
[3] College of Electrical Engineering, Zhejiang University of Science & Technology, Hangzhou, 310023, Zhejiang Province
来源：
Dianwang Jishu/Power System Technology | 2019年 / 43卷 / 02期
基金：
浙江省自然科学基金; 中国国家自然科学基金;
关键词：
Bilinear Benders decomposition; Optimal wind accommodationpoint; Transmissionlinecontingency; Unit commitment;
D O I：
10.13335/j.1000-3673.pst.2018.1961
中图分类号：
学科分类号：
摘要：
With high proportion of wind power penetration, to enhance economy and security of power grids, based on the concept of optimal wind accommodation point, a chance-constrained two-stage unit commitment (UC) model considering transmissionlinecontingencies is proposed. On one hand, uncertainty of wind power is described with chance constraint to determine optimal UC scheduling and wind accommodationpoint. On the other hand, normal states andthe states after contingencies are also considered at the same time. By introducing load and wind power curtailment into contingency control, the stability of power grids is guaranteed. To achieve computational efficiency, the chance constraint is dealt with sample average approximation (SAA) method, and the primal proposed model is converted into main problem and subproblems with bilinear Benders decomposition method. The decomposed main problem optimizes operational cost of power grids based on prediction of wind power generation, while the subproblems focus on re-dispatching cost under fluctuation of wind power. Validity and effectiveness of the proposed model are illustrated with simulation on 6-bus system and modified IEEE RTS-79 system. © 2019, Power System Technology Press. All right reserved.
引用
收藏
页码：363 / 370
页数：7
相关论文
共 23 条
  • [1] Kang C., Yao L., Key Scientific issues and theoretical research framework for power systems with high proportion of renewable energy, Automation of Electric Power Systems, 41, 9, pp. 2-11, (2017)
  • [2] Sun R., Wang D., Ding H., Et al., Whole-process evaluation methods of wind power accommodation, Power System Technology, 41, 9, pp. 2777-2783, (2017)
  • [3] Lu J., Zhang J., Ding M., Economic evaluation of power system dispatch integrated with wind power, Power System Technology, 40, 8, pp. 2258-2264, (2016)
  • [4] Zhang Q., Wang X., Yang T., Et al., A robust dispatch method for power grid with wind farms, Power System Technology, 41, 5, pp. 1451-1459, (2017)
  • [5] Zhu D., Liu W., Cai W., Et al., Load-source coordinated dispatch method for promoting wind power accommodation based on rolling optimization of energy and power, Automation of Electric Power Systems, 42, 5, pp. 80-85, (2018)
  • [6] Li Y., Liu W., Xie C., Et al., Supply chains game based decision-making method of congested wind power consumption for high-energy load, Automation of Electric Power Systems, 41, 7, pp. 135-143, (2017)
  • [7] Qiu F., Wang J., Chance-constrained transmission switching with guaranteed wind power utilization, IEEE Transactions on Power Systems, 30, 3, pp. 1270-1278, (2015)
  • [8] Hu B., Wu L., Robust SCUC considering continuous/discrete uncertainties and quick-start units: a two-stage robust optimization with mixed-integer recourse, IEEE Transactions on Power Systems, 31, 2, pp. 1407-1419, (2016)
  • [9] Zhou M., Zhai J., Ren J., Et al., A decentralized coordinated dispatch approach for interconnected power grid with wind power via HVDC tie-line, Power System Technology, 41, 5, pp. 1428-1434, (2017)
  • [10] Bobo D.R., Mauzy D.M., Trefny F.J., Economic generation dispatch with responsive spinning reserve constraints, IEEE Transactions on Power Systems, 9, 1, pp. 555-559, (1994)
123