在IEEE标准网络中，PSO算法在经济调度与改善电压分布之间的折衷

2015 2nd International Conference on Knowledge-Based Engineering and Innovation (KBEI) Pub Date : 2015-11-01 DOI:10.1109/KBEI.2015.7436105

Hossein Mansoori, Yadolah Kheyraee, M. Fatahi, Mohammad Yousefinejad

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引用次数: 0

摘要

本文旨在利用粒子群优化算法解决电网电压分布的经济调度和优化问题。粒子群算法是一种调整非线性函数的通用优化方法。对于问题的特殊考虑，该方法可以显著地导致各种目标函数的优化(增加或减少)。为了改进优化过程，在粒子群算法的改进中采用了逐渐减小惯性权值的方法。用MATLAB软件在IEEE 30总线标准网络上对该方法进行了仿真。将该方法与遗传算法、梯度法等方法进行了比较，结果表明该方法具有明显的优越性。此外，它还可以提供诸如降低燃料成本和优化电压分布等预期目标。

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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Compromise between economic dispatching and improvement of voltage profile using PSO algorithm in IEEE standard network

The present paper aims to resolve the economical dispatching and optimization of voltage profile using particle swarm optimization (PSO) algorithm. The PSO algorithm is a general optimization method to adjust nonlinear functions. Regarding to special consideration of issue, this method can considerably lead to optimization (increase or decrease) of various objective functions. In this paper, in order to enhancement of optimization procedure, the gradually reducing inertia weight approach has been used by progress of PSO algorithm. The offered method has been simulated on IEEE 30-bus standard network by MATLAB software. Comparison of the results of the present method with other ones, such as genetic algorithm and gradient method obviously showed its superiority. Furthermore, it can provide desired goals like decreasing of fuel cost and optimization of the voltage profile.

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2015 2nd International Conference on Knowledge-Based Engineering and Innovation (KBEI)

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