Static security assessment according to N-1 criterion for transmission lines based on sampled-blind-number

被引:0
|
作者
Liu Y. [1 ,2 ]
Peng S. [2 ]
Zhang Z. [2 ]
Xia N. [1 ,2 ]
机构
[1] School of Electrical Engineering, Southeast University, Nanjing
[2] Shaanxi Electric Power Research Institute, Xi'an
关键词
N-1; criterion; Sampled-blind-number (SBN); Static security assessment; Uncertainty;
D O I
10.7667/PSPC180775
中图分类号
学科分类号
摘要
In order to research the static security assessment result for transmission lines considering the uncertainty of loads and Distributed Generations (DGs) output power, a Sampled-Blind-Number (SBN) based static security assessment for transmission lines is put forward. Firstly, the sampling method for the static security assessment is described, in which the SBNs of a load and the output power of a DG are calculated from the annual load duration curve and the annual output power duration curve, respectively. The scenarios for analysis are furnished from combining the corresponding SBNs of the loads and DGs output power. On this basis, whether the loading of the other transmission line or grid equipment under the N-1 assessment is over its rated value is analyzed. The probability of being against the N-1 criterion for grid is obtained as the summation of the probabilities of the scenarios which are with overloaded situations. Finally, the transmission lines with risk of being against N-1 criterion are ranked by the probability of risk to find the vulnerable spots of grid. An example is given to explain the proposed approach and the simulation result shows SBN method is feasible for N-1 static assessment and suitable for the multi-dimension evaluation for grid. © 2019, Power System Protection and Control Press. All right reserved.
引用
收藏
页码:106 / 112
页数:6
相关论文
共 23 条
  • [1] Balu N., Bertram T., Bose A., Et al., On line power system security analysis, Proceedings of the IEEE, 80, 2, pp. 262-282, (1992)
  • [2] Naoto Y., Muhammad A., Yutaka S., Et al., Robust power system security assessment under uncertainties using bi-level optimization, IEEE Transactions on Power Systems, 33, 1, pp. 352-362, (2018)
  • [3] Fang Y., Wang S., Xu T., Et al., Concurrent computing architecture for power system security stability analysis based on process configuration, Power System Protection and Control, 46, 11, pp. 92-98, (2018)
  • [4] Liu R., Zhang J., Wu D., Research on static security index of distribution network based on risk theory, Power System Protection and Control, 39, 15, pp. 89-95, (2011)
  • [5] Liu J., Xu J., Dong H., Static security assessment of distribution networks, Automation of Electric Power Systems, 27, 17, pp. 26-30, (2003)
  • [6] Jing Z., Li X., Wu Z., Et al., A method of main-transformer N-1 verification for distribution network considering feeder and main-transformer constraints, Power System Protection and Control, 45, 1, pp. 111-117, (2017)
  • [7] Pan K., Tan D., Zhao Y., Et al., A fast computing method of N-1 in static analysis considering BATS in regional power grid, Automation of Electric Power Systems, 39, 24, pp. 122-128, (2015)
  • [8] Yang X., Zhao H., Gui S., Et al., N-1 verification of distribution system based on subsection load transfer, Advanced Technology of Electrical Engineering and Energy, 35, 8, pp. 66-72, (2016)
  • [9] Fu X., Wang X., Xie L., A new method of calculating maximum load-ability of power system considering N-1 static security, Power System Technology, 30, 6, pp. 6-10, (2006)
  • [10] Xiao J., Gong X., Wang C., Comparative research between total supply capability and N-1 security verification for distribution networks, Automation of Electric Power Systems, 36, 18, pp. 78-79, (2012)