Impact of optimum power factor of PV‐controlled inverter on the aging and cost‐effectiveness of oil‐filled transformer considering long‐term characteristics

Salama, M.; Mansour, Diaa‐Eldin A.; Abdelmakasoud, Samir Mohamed; Abbas, Ahmed A.

doi:10.1049/iet-gtd.2019.0409

Cited by 7 publications

(2 citation statements)

References 23 publications

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“…Integration of distributed generation resources (DGs) to distribution networks is another effective way of the transformers load management and life improvement [4][5][6][7][8][9][10]. Agah et al…”

Section: Introductionmentioning

confidence: 99%

Evaluating the Effects of Demand Response Programs on Life Expectancy of Distribution Transformers

Dehghani

Vahidi

2022

Scientia Iranica

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This paper presents a new method to investigate the effects of demand response programs on the life expectancy of distribution transformers. The proposed method has been applied on a realistic distribution network, and the results are evaluated under various models of the demand response program and different levels of tariffs. According to the results, distribution transformers' life extension under various scenarios of applying demand response programs, in spite of differences among them, brings a great economic benefit. The results show a significant life extension in the interval of about 9 to 33 years. Also, this life extension brings a considerable benefit between 624.91$ to 821.669$, per year. However, the amount of obtained benefit considerably depends on the model of the demand response program and the level of tariffs.Besides, an economic analysis from both utility's and customer's perspectives is carried out in order to determine the optimal demand response model. To do this, an economic index is presented, and the best solution is determined by an Analytical Hierarchy Process so that it can satisfy both utilities and customers. As revealed by the results, the total annual benefits of the utility and customers are increased by 762.64$ and 73.85$, respectively.

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Section: Introductionmentioning

confidence: 99%

Evaluating the Effects of Demand Response Programs on Life Expectancy of Distribution Transformers

Dehghani

Vahidi

2022

Scientia Iranica

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“…In those transformers, the load varies continuously and so does the hottest-spot temperature, as a consequence of the uncontrolled power injection. This temperature presents a transient behavior, which depends on the initial thermal conditions and the transformer cooling characteristics, as well as on power production and external weather, among others [17]. All those factors influence the insulation life expectancy.…”

Section: Introductionmentioning

confidence: 99%

Load capability estimation of dry-type transformers used in PV-systems by employing field measurements

et al. 2020

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Transformer insulation aging is a critical issue for both reliable and economic operations, and for planning of electrical systems. As insulation aging depends on the hottest-spot temperature, transformer management can be improved with a suitable model for temperature estimation and prediction. However, the temperature inside transformers varies dynamically because of changes in both the cooling conditions and the load cycles. Hence, this paper presents an algorithm to estimate and predict the hottest-spot in Dry-Type distribution transformers, so that their capability and insulation life can be assessed. This procedure is focused on transformers used to directly connect PV-inverters to the grid in order to consider the uncontrolled power generation of distribution PV-systems. To implement the algorithm, it is assumed that records of ambient temperature, PV-system power generation cycle, and winding temperature are available. With this data, the parameters of an equivalent thermal circuit are fitted in order to dynamically model the transformer hottest-spot. The method was validated using twelve-day records of a 70 kW p PV-generation system connected to a 75 kVA Dry-Type transformer. Results show that an enhancement in the hot-spot estimation is reached, and an assessment of the performance in real-time monitoring of the transformer capacity is achieved employing the proposed algorithm.

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Thermal performance of transformers filled with environmentally friendly oils under various loading conditions

Salama

Mansour

Daghrah

et al. 2020

International Journal of Electrical Power & Energy Systems

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Impact of optimum power factor of PV‐controlled inverter on the aging and cost‐effectiveness of oil‐filled transformer considering long‐term characteristics

Cited by 7 publications

References 23 publications

Evaluating the Effects of Demand Response Programs on Life Expectancy of Distribution Transformers

Evaluating the Effects of Demand Response Programs on Life Expectancy of Distribution Transformers

Load capability estimation of dry-type transformers used in PV-systems by employing field measurements

Thermal performance of transformers filled with environmentally friendly oils under various loading conditions

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