首页|3D Modelling and simulation analysis of electric field under HV overhead line using improved optimisation method

3D Modelling and simulation analysis of electric field under HV overhead line using improved optimisation method

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  • NETL
  • NSTL
  • Inst Engineering Technology-Iet
This study proposes a three-dimensional (3D) quasi-static modelling of the electric field produced by high voltage (HV) overhead power lines using charge simulation method combined with intelligent optimisation algorithms, such as particle swarm optimisation, genetic algorithm and grey Wolf optimiser (GWO), to find the optimal values of parameters for an accurate calculation. Results show that the GWO works better than other algorithms. Several parameters affecting the electric field have been studied; it is observed that taking into account the effect of the exact catenary curve of the power line conductors is much more interesting particularly at the mid-span level where the electric field becomes very significant. According to these values, the limits set by the International Commission on Non-Ionising Radiation Protection guidelines for electric field strength are met for occupational and public exposure. The simulation results are compared with those obtained by the 3D Integration method, a fairly good agreement is found. To confirm the performance and effectiveness of the proposed method, the results obtained are also verified with measurement values available in the literature, a good similarity is achieved.

overhead line conductorsconductors (electric)genetic algorithmsoptimisationelectric fieldspower overhead linesradiation protectionparticle swarm optimisationgenetic algorithmgrey Wolf optimiserGWOpower line conductorselectric field strength3D Integration method3D Modellingsimulation analysisHV overhead lineimproved optimisation methodquasistatic modellinghigh voltage overhead power linesintelligent optimisation algorithmsparticle swarm optimisation

Djekidel, Rabah、Bessedik, Sid Ahmed、Akef, Samar

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Amar Telidji Univ, Dept Elect Engn, BP 37G, Laghouat, Algeria

Cairo Univ, Dept Elect Engn, Giza, Egypt

2020

10.1049/iet-smt.2019.0137

IET science, measurement & technology

IET science, measurement & technology

ISSN：1751-8822
年,卷(期)：2020.14(8)
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