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

机译:多目标最佳功率流动,以最大限度地利用狼算法减少损耗和碳排放

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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.
机译:人口增长和技术进步导致对电能的需求的增加与能源的增长不符合。用各种方法分配电能的许多方式,以获得经济价格的能量效率。在本文中,旨在引入应用程序使用Wolf算法(WA)以获得最佳电流控制变量的最佳设置。主要目的是在标准IEEE 30-Bus测试系统中进行测试,并尝试,具有多目标,其显示出损失和碳排放值。将在文献中比较和报告主要目标的结果。结果非常有前景,表现出主要目标的有效性和恢复力。

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