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首页> 外文期刊>International energy journal >Multi-Objective Real Power Loss and Voltage Deviation Minimization for Grid Connected Micro Power System Using Whale Optimization Algorithm
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Multi-Objective Real Power Loss and Voltage Deviation Minimization for Grid Connected Micro Power System Using Whale Optimization Algorithm

机译:基于鲸鱼优化算法的并网微电网多目标有功损耗和电压偏差最小化

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摘要

In this paper, a whale optimization algorithm (WOA) is applied to solve the multi-objective real power loss and bus voltage deviation (VD) minimizations for grid connected micro power system with non-firm small power plants. The control variables are the voltage magnitude at voltage control buses and the transformer tap changers. The methods were tested with IEEE 6 and 14 buses systems comparing to genetic algorithm (GA), artificial bee colony (ABC), and particle swarm optimization (PSO). The simulation results shown that WOA can successfully provide the minimum the multi-objective real power loss and bus VD solution than those computed by GA, ABC, and PSO. Moreover, the applied methods use the minimum computation time among all methods.
机译:本文采用鲸鱼优化算法(WOA)来解决带有非公司小型电厂的并网微型电力系统的多目标实际功率损耗和母线电压偏差(VD)最小化问题。控制变量是电压控制母线和变压器分接开关处的电压大小。通过与遗传算法(GA),人工蜂群(ABC)和粒子群优化(PSO)进行比较,在IEEE 6和14总线系统上对这些方法进行了测试。仿真结果表明,与由GA,ABC和PSO计算的结果相比,WOA可以成功提供最小的多目标实际功率损耗和总线VD解决方案。而且,在所有方法中,所应用的方法都使用最少的计算时间。

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