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首页> 外文期刊>Journal of the Instrument Society of India: Proceedings of the national symposium on instrumentation >Validation of Modified BFOA for Optimal Location and Sizing of SVC to improve Power System Security
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Validation of Modified BFOA for Optimal Location and Sizing of SVC to improve Power System Security

机译:改进式BFOA的验证,以实现SVC的最佳位置和尺寸,提高电力系统安全性

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摘要

The growing in power demand has made the necessity of innovating novel methods to operate large interconnected power systems. This reflects more complexity and therefore less secure than before. Hence, the modern power systems are more adaptable to various failures. One family of the device that has enhanced the safe and reliable operation of the network and has contributed to capacity augmentation is FACTS. But, they are very expensive and must be suitably sized and located to maximize the overall benefit to the system. This work aims to determine the exact optimal location and size of the Static Var Compensator (SVC) by optimizing the multi-objective function, formulated by different factors that define the system security, namely Voltage Deviation, System Overload and Real Power Losses. The multi-objective optimization function has been optimized using a Modified Bacterial Foraging Optimization Algorithm (MBFOA). The results are analysed and compared for an IEEE 30 bus test system and the Indian Utility Neyveli Thermal Power Station (IU-NTPS) 23 bus practical system.
机译:电力需求的日益增长使得创新新颖的方法操作大型互联电力系统。这反映了更多的复杂性,因此比以前更少安全。因此,现代电力系统更适应各种故障。设备的一个家庭,增强了网络的安全可靠运行,并为能力增强做出了贡献。但是,它们非常昂贵,必须适当尺寸和定位,以最大限度地提高系统的整体益处。这项工作旨在通过优化由定义系统安全性,即电压偏差,系统过载和实际功率损耗的不同因素来确定静态VAR补偿器(SVC)的精确最佳位置和大小。使用修饰的细菌觅食优化算法(MBFOA)进行了多目标优化功能。对IEEE 30总线测试系统和印度效用Neyveli热电站(IU-NTPS)23总线实际系统进行了分析和比较了结果。

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