A non-iterative affine arithmetic methodology for interval power flow analysis of transmission network

  • Tao Ding
  • , Rui Bo
  • , Qinglai Guo
  • , Hongbin Sun
  • , Wenchuan Wu
  • , Boming Zhang

Research output: Contribution to journalArticlepeer-review

35 Scopus citations

Abstract

Power flow exhibits uncertainty when power injections randomly fluctuate. The variables of power flow problem are correlated through the constraints set forth by power flow equations. Affine arithmetic can effectively overcome the correlation and therefore is adopted in this paper. In order to improve the computational efficiency, non-iterative method was proposed, which can transform the interval power flow problem into optimization problems. Linear programming, nonlinear programming and quadratic programming optimization models were established to obtain intervals of nodal voltage magnitude, phase angle, branch active power and reactive power, respectively. Simulation results of 9-bus and 57-bus test system show that the power flow interval obtained by the proposed algorithm is nearly the same as that by iterative algorithms, whereas the branch power flow results are better. The interval power flow problem can be solved quickly and efficiently with time complexity approximately O(m3). As well, parallel computing can be implemented to achieve promising improvement in computation time.

Original languageEnglish
Pages (from-to)76-83
Number of pages8
JournalZhongguo Dianji Gongcheng Xuebao/Proceedings of the Chinese Society of Electrical Engineering
Volume33
Issue number19
StatePublished - 5 Jul 2013
Externally publishedYes

Keywords

  • Affine arithmetic
  • Interior-point algorithm
  • Interval power flow
  • Time complexity
  • Uncertainty

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