Distribution Transformer Loss-of-Life Reduction by Increasing Penetration of Distributed Generation

Agah, Seyed Mohammad Mousavi; Abyaneh, H.A.

doi:10.1109/tpwrd.2010.2094210

Cited by 67 publications

(27 citation statements)

References 19 publications

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“…However, there is a knowledge gap about the extent of such benefits in monetary terms.This paper tries to fill such a knowledge gap by contributing to develop a general approach which quantifies the economic benefit associated with DG units in terms of power cable LOL reduction. It continues and completes the preliminary research presented by the same authors in [9][10][11], extending modeling issues and confirming previous results. The proposed method is applied to realistic distribution network of Sirjan citycenter in Iran, considering the connection of both intermittent and firm DG technologies.…”

supporting

confidence: 87%

Analysis of the effect of distributed generation on life expectancy of power cables

Agah

Abyaneh

Siano

2013

Int. Trans. Electr. Energ. Syst.

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Summary This paper presents a novel approach to quantify the effect of customer‐owned distributed generation (DG) units on the life expectancy of power cables. Numerical results obtained from a realistic distribution system are presented and discussed under various scenarios, including different penetration levels of DG technologies. The results show that despite differences among various DG technologies, significant benefits can be realized in the area of power cable life extension, when DG units are installed by low‐voltage customers. However, the extent of the benefits largely depends on the penetration level of DG units, the production pattern of DG technologies and the utilization factor of the analyzed cables. Copyright © 2013 John Wiley & Sons, Ltd.

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supporting

confidence: 87%

Analysis of the effect of distributed generation on life expectancy of power cables

Agah

Abyaneh

Siano

2013

Int. Trans. Electr. Energ. Syst.

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“…The impacts of DG and more specifically PV on the aging of transformers have also been investigated in the literature [76][77][78][79][80][81][82][83][84][85][86]. The incorporation of rooftop PVs in residential networks at moderate penetration levels is starting to be a reality in many countries.…”

Section: Distributed Generationmentioning

confidence: 99%

Effect of Loads and Other Key Factors on Oil-Transformer Ageing: Sustainability Benefits and Challenges

et al. 2015

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Transformers are one of the more expensive pieces of equipment found in a distribution network. The transformer's role has not changed over the last decades. With simple construction and at the same time mechanically robust, they offer long term service that on average can reach half a century. Today, with the ongoing trend to supply a growing number of non-linear loads along with the notion of distributed generation (DG), a new challenge has arisen in terms of transformer sustainability, with one of the possible consequences being accelerated ageing. In this paper we carefully review the existing studies in the literature of the effect of loads and other key factors on oil-transformer ageing. The state-of-the-art is reviewed, each factor is analysed in detail, and in the end a smart transformer protection method is sought in order to monitor and protect it from upcoming challenges.

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“…Transformer Thermal Model [24]: The thermal model of [2] is used in this paper to determine the thermal response of the examined distribution transformers to stepwise load and ambient temperature cycles. The step-by-step calculation process of [2] is summarized as follows.…”

Section: Kolmogorov-smirnov Testmentioning

confidence: 99%

“…Transformer LOL Model [24]: The ANSI/IEEE Standard C.57.91 [1] gives an equation to calculate the LOL acceleration factor for a standard mineral-oil-immersed power and distribution transformer, which is (C1) Furthermore, it provides an equation for the equivalent LOL acceleration factor, as follows:…”

Section: Kolmogorov-smirnov Testmentioning

confidence: 99%

Effect of Modeling Non-Normality and Stochastic Dependence of Variables on Distribution Transformer Loss of Life Inference

Agah

Abyaneh

2012

IEEE Trans. Power Delivery

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This paper presents a method for transformer loss-of-life inference by integrating stochastic dependence between non-normal transformer load and ambient temperature into analysis. The non-normally distributed variables are transformed to a common domain (i.e., the rank domain) by applying the cumulative density function transformation. In this domain, special functions, copulas, are used for modeling stochastic dependence between the variables. Extensive research data have been used to obtain quantitative results for realistic test cases of distribution transformers serving various types of low-voltage consumers. The results indicate that the accuracy of loss-of-life inference is very sensitive to normality and independence assumptions which are generally adopted in previous studies. It is demonstrated that such assumptions may lead to misleading results compared to the actual conditions. Thus, the proposed method, which is based on no restrictive assumption, emerges as a more accurate solution for transformer loss-of-life inference.

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Distribution Transformer Loss-of-Life Reduction by Increasing Penetration of Distributed Generation

Cited by 67 publications

References 19 publications

Analysis of the effect of distributed generation on life expectancy of power cables

Analysis of the effect of distributed generation on life expectancy of power cables

Effect of Loads and Other Key Factors on Oil-Transformer Ageing: Sustainability Benefits and Challenges

Effect of Modeling Non-Normality and Stochastic Dependence of Variables on Distribution Transformer Loss of Life Inference

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