The Application of Adaptive Immune Algorithm for Reactive Power Optimization

Lin Jikeng, W. Xudong
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Abstract

The adaptive immune algorithm (AIA) developed from immune algorithm (IA), owns faster computation speed and better convergence than that of GA and other stochastic type algorithms, due to its characteristic of having two layers optimization. The paper proposes to apply adaptive immune algorithm for reactive power optimization. The coding method for the control variables based on decimal system is introduced in detail. The test results of example systems demonstrate its feasibility and validity.
自适应免疫算法在无功优化中的应用
自适应免疫算法(AIA)是在免疫算法(IA)的基础上发展起来的,由于具有两层优化的特点,它比遗传算法和其他随机算法具有更快的计算速度和更好的收敛性。本文提出将自适应免疫算法应用于无功优化。详细介绍了基于十进制的控制变量编码方法。实例系统的测试结果验证了该方法的可行性和有效性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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