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Smart grid security assessment using intelligent technique based on novel chaotic performance index

机译:基于新型混沌性能指标的智能技术,智能电网安全评估

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摘要

Smart grid networks to deliver power, are futuristic well planned, designed and managed systems in real time. The potential threat to the dynamic security of such systems is chaotic nature of real power flow on transmission lines. Smart grid needs to be secure in static and dynamic sense under contingent conditions. At present static security assessment is based on monitoring of conventional mega-watt performance index along with other voltage and current related performance indices. This paper proposes an intelligent technique based on novel interleaved performance index. Proposed technique uses interleaving of two features. One feature is related to computation of Lyapunov Exponent for chaotic behavior related to the divergent trend of power flow increase and other related to conventional megawatt performance index for overload monitoring. Novel proposed index is named as interleaved Mega Watt-Lyapunov Exponent performance index. Chaos quantification and overload of real power flow on transmission lines, both can be evaluated using proposed index. This paper presents formulation and computation of novel proposition for smart grids. Benchmark model with computed values of novel performance index under different contingencies and load profiles along with a comparison to conventional index, is demonstrated and discussed at length in the paper.
机译:智能电网网络提供电力,是实时的未来计划,设计和管理系统。对这种系统的动态安全的潜在威胁是在传输线上的实际功率流的混沌性质。在偶然条件下,智能电网需要在静态和动态意义上确保。目前,静态安全评估是基于传统的Mega-Watt性能指数的监测以及其他电压和电流相关的性能指标。本文提出了一种基于新型交错性能指标的智能技术。所提出的技术使用两个特征的交织。一个特征与与电流增加的发散趋势有关的混沌行为的Lyapunov指数的计算有关,与传统的兆瓦绩效指标进行过载监测。新颖的拟议索引被命名为交错的Mega Watt-Lyapunov指数性能指数。混沌量化和变速器上的实际功率过载,都可以使用所提出的指数进行评估。本文介绍了智能电网新颖主张的制定和计算。基准模型与不同突发事件下的新型性能指数的计算值以及负载曲线以及与传统指标的比较,并在纸张中的长度讨论。

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