Global Sensitivity Analysis for Islanded Microgrid Based on Sparse Polynomial Chaos Expansion

被引:0
|
作者
Wang H. [1 ]
Yan Z. [1 ]
Xu X. [1 ]
He K. [1 ]
机构
[1] Key Laboratory of Control of Power Transmission and Conversion, Ministry of Education, Shanghai Jiao Tong University, Shanghai
关键词
Energy storage system configuration; Global sensitivity analysis; Islanded microgrid; Sparse polynomial chaos expansion; Uncertainty;
D O I
10.7500/AEPS20180625006
中图分类号
学科分类号
摘要
As the penetration rate of renewable energy sources and the proportion of electric vehicles continue to increase, the uncertainties in the operation of microgrids have increased significantly. Accurate assessment of the influence of uncertainties on the status of microgrids will help improve the safe and stable operation of the system. Considering the uncertainties of source and loads, the probabilistic power flow model of islanded microgrids is established and the global sensitivity analysis indices are introduced. Then, the global sensitivity analysis of islanded microgrids based on sparse polynomial chaos expansion is proposed. The proposed method is used to accurately and quickly identify critical input random variables that affect the operation status of the system. Through the simulation of a 40-bus islanded microgrid with distributed generators, the accuracy and efficiency of the proposed method are verified. The effect of the source and load uncertainty on the power flow of islanded microgrid is analyzed and the importance ranking of input random variables is given. © 2019 Automation of Electric Power Systems Press.
引用
收藏
页码:44 / 52
页数:8
相关论文
共 31 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. 1-11, (2017)
  • [2] Shu Y., Xue Y., Cai B., Et al., A review of energy transition analysis: Part one elements and paradigms, Automation of Electric Power Systems, 42, 9, pp. 1-15, (2018)
  • [3] Li Z., Shahidehpour M., Small-signal modeling and stability analysis of hybrid AC/DC microgrids, IEEE Transactions on Smart Grid, 10, 2, pp. 2080-2095, (2019)
  • [4] Peng H., Cao Y., Huang X., Et al., Continuous power flow for islanding microgrid without balance nodes, Proceedings of the CSEE, 36, 8, pp. 2057-2067, (2016)
  • [5] Oureilidis K.O., Bakirtzis E.A., Demoulias C.S., Frequency-based control of islanded microgrid with renewable energy sources and energy storage, Journal of Modern Power Systems and Clean Energy, 4, 1, pp. 54-62, (2016)
  • [6] Ding M., Chu M., Pan H., Et al., Operation optimization modeling and uncertainty analysis for hybrid AC/DC microgrids, Automation of Electric Power Systems, 41, 5, pp. 1-7, (2017)
  • [7] Zhou Q., Li Z., Wu Q., Et al., Two-stage load shedding for secondary control in hierarchical operation of islanded microgrids, IEEE Transactions on Smart Grid
  • [8] Zhao C., Wang J., Sun W., Et al., Networked control strategy of islanded microgrid based on distributed secondary control, Automation of Electric Power Systems, 42, 3, pp. 32-39, (2018)
  • [9] Li Y., Yang Z., Li G., Et al., Optimal scheduling of an isolated microgrid with battery storage considering load and renewable generation uncertainties, IEEE Transactions on Industrial Electronics, 66, 2, pp. 1565-1575, (2019)
  • [10] Pan Z., Shi M., Wu Y., Et al., Probabilistic load flow of islanded microgrid with droop-controlled distributed generations, IEEE PES Asia-Pacific Power and Energy Engineering Conference, pp. 536-540, (2016)