Online Probabilistic Power Flow Algorithm for Super-large-scale Power Grid

被引：0
|
作者：
Shi F. [1 ]
Yang S. [1 ]
Feng S. [1 ]
Wang L. [1 ]
机构：
[1] China Electric Power Research Institute (Nanjing), Nanjing
来源：
Shi, Fei (shifei@epri.sgcc.com.cn) | 2018年 / Automation of Electric Power Systems Press卷 / 42期
关键词：
Cumulant method; Network equivalent; Online analysis; Probabilistic power flow;
D O I：
10.7500/AEPS20171016003
中图分类号：
学科分类号：
摘要：
Since the probabilistic pwer flow is vulnerable to the scale of the power grid, the conventional probabilistic power flow algorithm based on cumulant method is improved. When the amount of random variables is small, the computational complexity is reduced by calculating the partial sensitivity matrix. When the amount of random variables is big, the computational scale of power grid is reduced by the network equivalent and decomposition methods. These modification can improve the computational speed of cumulant method of the probabilistic power flow. The accuracy and practicality are both testified by the IEEE systems and several actual large-scale power grid cases. © 2018 Automation of Electric Power Systems Press.
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页码：84 / 89
页数：5
相关论文
共 29 条
  • [1] Zhu X., Huang Y., Zhang J., Et al., Static security assessment based on probabilistic load flow for wind power integrated power systems, Automation of Electric Power Systems, 38, 20, pp. 46-53, (2014)
  • [2] Xue Y., Lei X., Xue F., Et al., A review on impacts of wind power uncertainties on power systems, Proceedings of the CSEE, 34, 29, pp. 5029-5040, (2014)
  • [3] Zeng B., Yang Y., Duan J., Et al., Key issues and research prospects for demand response in alternate electrical power systems with renewable energy, Automation of Electric Power Systems, 17, 39, pp. 10-18, (2015)
  • [4] Pan X., Liu Z., Liu W., Et al., Wind farm polymerization influences on security and economic operation in power system based on Copula function, Journal of Modern Power Systems and Clean Energy, 3, 3, pp. 381-392, (2015)
  • [5] Sun M., Wu H., Qiu Y., Et al., Probabilistic load flow for wind power integrated system based on generalized polynomial chaos method, Automation of Electric Power Systems, 41, 7, pp. 54-60, (2017)
  • [6] Liu Y., Gao S., Yang S., Et al., Review on algorithms for probabilistic load flow in power system, Automation of Electric Power Systems, 38, 23, pp. 127-135, (2014)
  • [7] Borkowska B., Probabilistic load flow, IEEE Transactions on PAS, 93, 3, pp. 752-759, (1974)
  • [8] Ding M., Li S., Huang K., Probabilistic load flow analysis based on Monte-Carlo simulation, Power System Technology, 25, 11, pp. 10-14, (2001)
  • [9] Cai D., Shi D., Chen J., Probabilistic load flow calculation method based on polynomial normal transformation and Latin hypercube sampling, Proceedings of the CSEE, 33, 13, pp. 92-100, (2013)
  • [10] Yu H., Chung C., Wong K.P., Et al., A probabilistic load flow calculation method with Latin hypercube sampling, Automation of Electric Power Systems, 33, 21, pp. 32-35, (2009)
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