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首页> 外文期刊>International Journal of Applied Engineering Research >Multi-Variables, Single Objective Optimal Power Flow of IEEE-14 Bus System Using Artificial Bee Colony Algorithms
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Multi-Variables, Single Objective Optimal Power Flow of IEEE-14 Bus System Using Artificial Bee Colony Algorithms

机译:多变量,IEEE-14总线系统的单个客观最优电流使用人造蜂菌落算法

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摘要

Artificial Bee Colony (ABC) Algorithm is one of the most nature-inspired algorithms used to solve optimization problems in different engineering fields, including optimal power flow (OPF) in power distribution systems. In this paper, ABC algorithms along with MATLAB software used to optimize IEEE-14 Bus distribution systems, three objectives including the fuel cost, power losses and voltage deviations in IEEE-14 Bus System are merged as one objective function and optimized for the whole system. The ABC algorithm objective function of 8271.59457, fuel cost of 8104.84 ($/h), power losses of 7_.90741 (MW) and voltage deviation of 0.06278 (p.u.). this results help the decision makers and the operators of this kinds of power distribution systems in order to run it in best way and improved efficiency.
机译:人造蜂殖民地(ABC)算法是用于解决不同工程领域中的优化问题的最具自然启发算法之一,包括配电系统中的最佳功率流量(OPF)。 在本文中,ABC算法以及用于优化IEEE-14总线分配系统的MATLAB软件,包括燃料成本,IEEE-14总线系统中的燃料成本,功率损耗和电压偏差的三个目标被合并为一个目标函数并针对整个系统进行优化 。 ABC算法目标函数为8271.59457,燃料成本为8104.84($ / h),功率损耗为7_.90741(MW)和电压偏差为0.06278(p.u.)。 这结果有助于决策者和这种配电系统的运营商,以便以最佳方式运行和提高效率。

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