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Adapting particle swarm optimisation for charge simulation method

机译:自适应粒子群算法优化电荷模拟方法

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摘要

The charge simulation method (CSM), owing to its favourable characteristics, is commonly used for electric field analysis of high-voltage insulation systems. In order to improve the precision of the electric field calculation and to minimise the reliance on personal experience, a novel combination of particle swarm optimisation (PSO) and CSM is proposed. In this, the optimum allocations of the simulating charges can be obtained using PSO. The conventional CSM is briefly considered and the optimised version is formulated. The potential distribution between two spherical electrodes is determined as a sample problem. Also, the solution of field distribution with non-axial symmetry resulting from a floating spherical conductor between the spheres is considered. The optimised CSM using PSO proved to be more efficient and there is no need for the experience that was required to set up and implement a solution of this kind.
机译:电荷模拟方法(CSM)由于其良好的特性,通常用于高压绝缘系统的电场分析。为了提高电场计算的精度并最大程度地减少对个人经验的依赖,提出了粒子群优化(PSO)和CSM的新型组合。这样,可以使用PSO获得模拟电荷的最佳分配。简要考虑了常规CSM并制定了优化版本。确定两个球形电极之间的电势分布是一个样本问题。另外,考虑由球之间的浮动球形导体产生的具有非轴向对称性的场分布的解。事实证明,使用PSO进行优化的CSM效率更高,并且不需要建立和实施此类解决方案所需的经验。

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  • 来源
    《Science, Measurement & Technology, IET》 |2011年第3期|p.96-101|共6页
  • 作者

    Elrahman M.K.A.;

  • 作者单位

    Faculty of Engineering, Electrical Power and Machine Engineering Department, Helwan University, Egypt;

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  • 正文语种 eng
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