2018
DOI: 10.1002/etep.2741
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A power grid partitioning optimization method based on fractal theory

Abstract: Summary It is important to identify characteristics of power grid structures in many applications. In a power system, large grids are divided into areas to meet planning and control requirements. Topological structures are considered in partitioning methods to guarantee the reliability and extendibility of power grids. However, the representation of structures is complex. To apply topological structures efficiently, this paper presents a new method for quantizing topological structures of power grids based on … Show more

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Cited by 4 publications
(2 citation statements)
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“…The experimental data showed that pore morphology could combine with diffusion coefficient to diagnose the laziness change of diffusion. Li et al (2019) applied fractal theory to power grid planning and control, and proposed a power grid topology method based on fractal theory, which is used to prove the fractal characteristics of power grid, and can quickly identify power grid faults, which played a promoting role in power grid production. Joveini and Sadri (2018) applied fractal theory to complex biological networks and proposed a new algorithm.…”
Section: Literature Reviewmentioning
confidence: 99%
“…The experimental data showed that pore morphology could combine with diffusion coefficient to diagnose the laziness change of diffusion. Li et al (2019) applied fractal theory to power grid planning and control, and proposed a power grid topology method based on fractal theory, which is used to prove the fractal characteristics of power grid, and can quickly identify power grid faults, which played a promoting role in power grid production. Joveini and Sadri (2018) applied fractal theory to complex biological networks and proposed a new algorithm.…”
Section: Literature Reviewmentioning
confidence: 99%
“…Weighted least squares method (WLS) is the most widely used state estimation method in the power system. It can eliminate the interference of random Gaussian errors and achieve unbiased estimation of true values [20][21][22].…”
Section: An Improved DC Methods Of Short-circuit Current Partitioningmentioning
confidence: 99%