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Diversity Enhanced Particle Swarm Optimization based Optimal Reactive Power Dispatch

机译:基于分集增强粒子群算法的最优无功调度

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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.
机译:无功功率分配(RPD)问题是一个复杂的非线性问题,涉及整数,离散和连续类型的控制变量。本文提出了一种新的算法,使用多样性增强粒子群算法(DEPSO)解决RPD问题。该方法为解决混合整数离散连续(MIDC)问题提供了有效的技术。因此适用于RPD问题。所提出方法的有效性体现在将控制变量四舍五入为最接近的整数或最接近的可用离散值。通过实施在实时应用中获得的解决方案,该系统变得不太容易出现电压不稳定的情况。本文将DEPSO应用于标准的IEEE 30总线测试系统。将获得的结果与基本PSO方法的结果进行比较。

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