用公共表达优化算法减小有功功率损耗

L. Kanagasabai
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引用次数: 3

摘要

人类社会是一个比其他动物群体更有效的多样化的集合。因此,如果一种算法模仿人类社会,那么它的效率可能比其他动物群体刺激的群体智能算法更健康。本文采用公共表达优化算法求解无功问题。解决最优无功问题的关键是降低实际功率损耗并使电压分布保持在规定的范围内。本文提出的公共表达优化算法已在标准IEEE 118和实用的191总线测试系统中得到验证。结果与其他标准方法进行了比较,投影算法收敛于最优解。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Diminution of Active Power Loss by Communal Expressive Optimization Algorithm
Human society is a multifarious collection which is more effectual than other animal groups. Consequently, if one algorithm imitates the human society, then the efficiency may be healthier than other swarm intelligent algorithms which are stimulated by other animal groups. In this paper Communal Expressive (CE) Optimization Algorithm has been utilized to solve reactive power problem. The key feature of solving Optimal Reactive Power Problem is to reduce the real power loss and to maintain the voltage profile within the specified limits. The proposed Communal Expressive (CE) Optimization Algorithm has been authenticated, by applying it in standard IEEE 118 & practical 191 bus test systems. The results have been compared to other standard methods and the projected algorithm converges to finest solution.
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