Loadability of power transformer under regional climate conditions: the case of Turkey

Biçen, Yunus; Aras, Faruk

doi:10.1007/s00202-014-0301-6

Cited by 7 publications

(8 citation statements)

References 26 publications

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“…The results also showed that for DR application, it is more beneficial to apply a DTR based on Hot Spot Temperature (HST) limit (120 • C) rather than DTR based on design HST (98 • C), which is widely used in other papers on DTR [66][67][68][69]. Specifically, the reader can see in Figure 14 that if DTR based on HST limit is used, then DSO needs to apply less DR volumes both in power and energy terms for studied reserve margins.…”

Section: Discussionmentioning

confidence: 97%

Demand Response Coupled with Dynamic Thermal Rating for Increased Transformer Reserve and Lifetime

et al. 2021

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(1) Background: This paper proposes a strategy coupling Demand Response Program with Dynamic Thermal Rating to ensure a transformer reserve for the load connection. This solution is an alternative to expensive grid reinforcements. (2) Methods: The proposed methodology firstly considers the N-1 mode under strict assumptions on load and ambient temperature and then identifies critical periods of the year when transformer constraints are violated. For each critical period, the integrated management/sizing problem is solved in YALMIP to find the minimal Demand Response needed to ensure a load connection. However, due to the nonlinear thermal model of transformers, the optimization problem becomes intractable at long periods. To overcome this problem, a validated piece-wise linearization is applied here. (3) Results: It is possible to increase reserve margins significantly compared to conventional approaches. These high reserve margins could be achieved for relatively small Demand Response volumes. For instance, a reserve margin of 75% (of transformer nominal rating) can be ensured if only 1% of the annual energy is curtailed. Moreover, the maximal amplitude of Demand Response (in kW) should be activated only 2–3 h during a year. (4) Conclusions: Improvements for combining Demand Response with Dynamic Thermal Rating are suggested. Results could be used to develop consumer connection agreements with variable network access.

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Section: Discussionmentioning

confidence: 97%

Demand Response Coupled with Dynamic Thermal Rating for Increased Transformer Reserve and Lifetime

et al. 2021

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“…Currently, the transformer within an electrical energy system is of vital importance due to the benefits it provides, such as change in voltage levels and its high efficiency [9]. It is for this reason that improper functioning or failure in its operations affects the reliability and efficiency of the entire system is associated with these devices [5]. Consequently, we are interested in studying transformers by means of models that represent their performance under different conditions where the efficiency and losses of the transformer are analyzed.…”

Section: Motivationmentioning

confidence: 99%

“…Owing to the accelerated growth of distribution networks, these networks present a high level of new devices involved in their development, such as protective devices, transformers, distribution lines, shunt compensators, and dispersed sources [3], among others. Nevertheless, the expansion of these grids has significant impacts on the energy quality mainly observed in the high increments in the total grid power losses that are mostly caused in distribution lines and transformers with low chargeability [4,5]. In developed countries, expected energy losses in transformers are about 3% [6]; however, in Latin American countries, the level of power losses in distribution networks can be between 6% and 18%, with most of them being caused in the distribution transformers due to their low loadability levels, which is an important problem that utilities have started to focus in the past few years [4,7].…”

Section: Introduction 1general Contextmentioning

confidence: 99%

Application of the Crow Search Algorithm to the Problem of the Parametric Estimation in Transformers Considering Voltage and Current Measures

2022

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The problem of the electrical characterization of single-phase transformers is addressed in this research through the application of the crow search algorithm (CSA). A nonlinear programming model to determine the series and parallel impedances of the transformer is formulated using the mean square error (MSE) between the voltages and currents measured and calculated as the objective function. The CSA is selected as a solution technique since it is efficient in dealing with complex nonlinear programming models using penalty factors to explore and exploit the solution space with minimum computational effort. Numerical results in three single-phase transformers with nominal sizes of 20 kVA, 45 kVA, 112.5 kVA, and 167 kVA demonstrate the efficiency of the proposed approach to define the transformer parameters when compared with the large-scale nonlinear solver fmincon in the MATLAB programming environment. Regarding the final objective function value, the CSA reaches objective functions lower than 2.75×10−11 for all the simulation cases, which confirms their effectiveness in minimizing the MSE between real (measured) and expected (calculated) voltage and current variables in the transformer.

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“…Only few studies estimate transformer limits in different areas over a long-term period. For instance, authors of [35] estimate a loadability of ONAF power transformer for a typical load profile and 30 year monthly-mean Tamb in Turkey. In [36], authors estimate DTR for ONAN power transformer based on the annual Tamb in United Kingdom.…”

Section: Introductionmentioning

confidence: 99%

Assessment of dynamic transformer rating, considering current and temperature limitations

Daminov

Prokhorov

Caire³

et al. 2021

International Journal of Electrical Power & Energy Systems

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Loadability of power transformer under regional climate conditions: the case of Turkey

Cited by 7 publications

References 26 publications

Demand Response Coupled with Dynamic Thermal Rating for Increased Transformer Reserve and Lifetime

Demand Response Coupled with Dynamic Thermal Rating for Increased Transformer Reserve and Lifetime

Application of the Crow Search Algorithm to the Problem of the Parametric Estimation in Transformers Considering Voltage and Current Measures

Assessment of dynamic transformer rating, considering current and temperature limitations

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