降低有功功率损耗的空气云算法

K. Lenin
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引用次数: 1

摘要

本文采用空气云(AC)算法求解最优无功问题。云的形状有很多种。当潮湿的空气被加热并膨胀成漂浮物时,就会形成对流云。空气使运输的水蒸气上升,水蒸气在空气中膨胀,并随着空气的流动而冷却。当空气的温度和压力降低时,它的饱和点——蒸发和凝结的平衡水平——就降低了。每一个都是一个云滴,一个云的定性特征是由三个数字字符(Ex, En, He),水滴数n来解释,其中一个云的Ex(期望值),En(熵)和He(超熵)决定云的中心位置,云的范围和云的厚度相等。投影空气云(AC)算法已在标准IEEE 14、57、300总线系统中进行了测试,仿真结果表明该算法在降低实际功率损耗方面具有较好的性能。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Air cloud algorithm for diminution of active power loss
In this work, Air Cloud (AC) algorithm is used to solve the optimal reactive power problem. Clouds shape in numerous ways. Convective clouds are created when moist air is warmed and expand into floating. Air raises haulage water vapour and within it expands and gets cooled as it goes. As the temperature and pressure of the air diminish, its saturation point – the equilibrium level of evaporation and condensation – is reduced. Every  is one cloud droplet, and qualitative characteristic of one cloud is explained by the three digital character (Ex, En, He) , droplets number n, where Ex (Expected value), En (Entropy) and He (Hyper entropy) of one cloud determine centre position of cloud, cover range of cloud and thickness of cloud equally. Projected Air Cloud (AC) algorithm has been tested in standard IEEE 14, 57, 300 bus systems and simulations results show the better performance of the proposed algorithm in reducing the real power loss.
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CiteScore
6.80
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