基于多样性增强粒子群算法的最优无功调度

V. Mini, T. S. Sunil Kumar
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引用次数: 4

摘要

无功功率调度(RPD)问题是一个复杂的非线性问题,涉及整数、离散和连续型控制变量。本文提出了一种利用多样性增强粒子群优化(DEPSO)技术求解RPD问题的新算法。该方法为求解混合整数离散连续(MIDC)问题提供了一种有效的方法;因此适合于RPD问题。所提方法的有效性反映在将控制变量舍入到最接近的整数或最接近的可用离散值上。随着该方案在实时应用中的实现,系统变得不容易出现电压不稳定。本文将DEPSO应用于标准的IEEE 30总线测试系统。所得结果与基本粒子群算法进行了比较。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Diversity Enhanced Particle Swarm Optimization based Optimal Reactive Power Dispatch
Reactive Power Dispatch (RPD) problem is a complex nonlinear problem involving integer, discrete and continuous types of control variables. This paper proposes a novel algorithm for solving the RPD problem using Diversity Enhanced Particle Swarm Optimization (DEPSO) technique. The proposed method offers an effective technique for solving Mixed Integer Discrete Continuous (MIDC) problems; hence suitable for the RPD problem. The effectiveness of the proposed method is reflected on the rounding off of control variables to the nearest integer or nearest available discrete values. With the implementation of the solution obtained in real time applications, the system becomes less prone to voltage instability. In this paper, DEPSO is applied to standard IEEE 30-bus test system. The results obtained are compared with those of basic PSO method.
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