Multi objective optimal power flow to minimize losses and carbon emission using Wolf Algorithm

Yun Tonce Kusuma Priyanto, Lukman Hendarwin
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引用次数: 12

Abstract

The population growth and technological advances lead to increasing demand for electrical energy is not matched by the growth of energy sources. Many ways in which to distribute electrical energy with a variety of methods to get the amount of energy efficient with an economical price. In this paper would like to introduce applications use Wolf Algorithm (WA) for optimal settings on optimal power flow control variables. The main objective was tested and tried in the standard IEEE 30-bus test system with multi objective which showed losses and carbon emission value. The results of the main goals will be compared and reported in the literature. The results are quite promising and show effectiveness and resilience of the main goal.
利用狼算法实现多目标最优潮流,使损耗和碳排放最小化
人口的增长和技术的进步导致对电能需求的增加与能源的增长不相匹配。有很多方法来分配电能,用各种各样的方法以经济的价格获得有效的能源。本文介绍了狼算法在最优潮流控制变量的最优设置中的应用。主要目标在标准的IEEE 30总线多目标测试系统中进行了测试和试验,显示了损耗和碳排放值。主要目标的结果将在文献中进行比较和报告。结果是相当有希望的,并显示了主要目标的有效性和弹性。
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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