E3S Web of Conferences (Jan 2021)

Optimization method of electric field inverse problem based on intelligent algorithm

  • Zhao Qiang,
  • Yang Shenglan,
  • Lu Li,
  • Jiang Zefeng,
  • Yang Wei,
  • Huang Zhipeng

DOI
https://doi.org/10.1051/e3sconf/202126002009
Journal volume & issue
Vol. 260
p. 02009

Abstract

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With the expansion of China's power grid, the scale, transmission distance and load capacity of transmission projects are all growing rapidly. Meanwhile, the problem of transmission line running state detection is also attracting more and more attention. Electric field under high voltage transmission line is taken as the research object in this paper, and the principle of electric field inverse operation is analyzed, two kinds of calculation objects and methods of nondestructive examination are are described in detail. There are two kinds of intelligent algorithms in this paper in order to solve the problem of several unknown solutions in inverse electric field operation. Correspondingly, the fitness function based on voltage value and result value is established, and the inverse electric field operation algorithm with global optimization function is proposed. A calculation example of high-voltage transmission line is also used to verify the inverse problem optimization algorithm. It is respectively proved by calculation results that the effectiveness and accuracy of the optimization method based on the two kinds of intelligent algorithms.