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首页> 外文期刊>International review of electrical engineering >Multi Objective Optimal Power Flow with FACTS Devices Using Shuffled Frog Leaping Algorithm
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Multi Objective Optimal Power Flow with FACTS Devices Using Shuffled Frog Leaping Algorithm

机译:采用随机蛙跳算法的FACTS装置多目标最优潮流

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In this study, Shuffled Frog Leaping Algorithm (SFLA)for optimizing generators fuel cost, active power transmission losses and voltage deviation of system buses simultaneously and with FACTS devices in power system have been used. In this suggested approach, optimal power flow has been formulized as a multi-purpose optimal problem. Applied FACTS devices include Thyristor Controlled Series Capacitor (TCSC) and Unified Power Flow Controller (UPFC). Proposed method have been examined on 5 buses and 30 buses IEEE standard test systems and obtained results of suggested algorithm have been compared with obtained results of Improvement Particle Swarm Optimization method.
机译:在这项研究中,使用了混合蛙跳算法(SFLA)来优化发电机的燃料成本,有功功率的传输损耗和系统总线的电压偏差,并与电力系统中的FACTS设备同时使用。在这种建议的方法中,已将最优潮流作为多用途最优问题制定。所应用的FACTS器件包括晶闸管控制串联电容器(TCSC)和统一潮流控制器(UPFC)。在5条总线和30条总线的IEEE标准测试系统上对提出的方法进行了研究,并将所建议算法的结果与改进粒子群优化方法的结果进行了比较。

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