Distribution transformer loss of life evaluation: a novel approach based on daily load profiles

Jardini, J.A.; Schmidt, Hernán Prieto; Tahan, Carlos Márcio Vieira; Oliveira, Carlos César Barioni de; Ahn, Se Un

doi:10.1109/61.847274

Cited by 62 publications

(24 citation statements)

References 2 publications

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“…In [15], load and temperature are represented by a set of curves that give, for each instant, load and temperature values associated with a probability value. The particular load value at any time (t) can be calculated as follows [15]:…”

Section: Comparison With Previous Workmentioning

confidence: 99%

“…For each combination, the HST and the corresponding loss of life are calculated. The average loss of life is calculated as follows [15]:…”

Section: Comparison With Previous Workmentioning

confidence: 99%

“…In [15], measured or estimated daily load profiles and a oneday average ambient temperature are used to determine the equivalent aging factor and the expected end of life of the insulation. Eleven curves were used to represent the daily temperature and load as well as their standard deviations.…”

Section: Introductionmentioning

confidence: 99%

“…where A and B are empirical constants, with values of (9.8 Â 10 À18 ) and (15,000), respectively [9][10][11]13,14]; HST is the transformer hot spot temperature in degrees Celsius.…”

Section: Introductionmentioning

confidence: 99%

See 3 more Smart Citations

A Monte Carlo approach for calculating the thermal lifetime of transformer insulation

Abu-Elanien

Salama

2012

International Journal of Electrical Power & Energy Systems

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Section: Comparison With Previous Workmentioning

confidence: 99%

“…For each combination, the HST and the corresponding loss of life are calculated. The average loss of life is calculated as follows [15]:…”

Section: Comparison With Previous Workmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

“…where A and B are empirical constants, with values of (9.8 Â 10 À18 ) and (15,000), respectively [9][10][11]13,14]; HST is the transformer hot spot temperature in degrees Celsius.…”

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

A Monte Carlo approach for calculating the thermal lifetime of transformer insulation

Abu-Elanien

Salama

2012

International Journal of Electrical Power & Energy Systems

View full text Add to dashboard Cite

“…Wurmlinger and Egly summarized the operation results of a load management system for distribution transformers in a power utility over a 3 years period [10]. Jardini et al proposed a loading management method for distribution transformer that involved life loss evaluation using measured daily load profiles [11,12]. Chao et al presented a load management system whereby customer power requirements (kW h) were forecast for a distribution management system (DMS) [13].…”

Section: Introductionmentioning

confidence: 99%

Development of overload evaluation system for distribution transformers using load monitoring data

Yun¹,

Park²,

Song³

2013

International Journal of Electrical Power & Energy Systems

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Facilitating higher photovoltaic penetration in residential distribution networks using demand side management and active voltage control

Pillai

Allison

Tun

et al. 2021

Engineering Reports

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Future power networks are certain to have high penetrations of renewable distributed generation such as photovoltaics (PV). At times of high PV generation and low customer demand (e.g., summer), network voltage is likely to rise beyond limits mandated by grid codes resulting in a curtailment of PV generation, unless appropriate control means are used. This leads to a reduction in energy yield and consequently reduces the economic viability of PV systems. This work focuses on scenario-based impact assessments underpinned by a net prosumer load forecasting framework as part of power system planning to aid sustainable energy policymaking. Based on use-case scenarios, the efficacy of smart grid solutions demand side management (DSM) and Active Voltage Control in maximizing PV energy yield and therefore revenue returns for prosumers and avoided costs for distribution networks between a developed country (the UK) and developing country (India) is analyzed. The results showed that while DSM could be a preferred means because of its potential for deployment via holistic demand response schemes for India and similar developing nations, technically the combination of the weaker low voltage network with significantly higher solar resource meant that it is not effective in preventing PV energy curtailment. K E Y W O R D Sactive voltage control, demand side management, distributed generation, energy yield curtailment INTRODUCTIONThe decarbonisation of the energy network has created higher demand for electricity over oil and coal. Some of the electrical power network assets such as transformers and switchgear assets were installed as early as the 1950s and are still in use today. 1 For example, the UK's National Infrastructure Delivery Plan 2016-2021 identifies that "much of the existing infrastructure which has served us well is now old" and that "major investment is required to accommodate new generation and replace aging assets". However, there is also a greater focus now on lowering the cost of deliveringThis is an open access article under the terms of the Creative Commons Attribution License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited.

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Distribution transformer loss of life evaluation: a novel approach based on daily load profiles

Cited by 62 publications

References 2 publications

A Monte Carlo approach for calculating the thermal lifetime of transformer insulation

A Monte Carlo approach for calculating the thermal lifetime of transformer insulation

Development of overload evaluation system for distribution transformers using load monitoring data

Facilitating higher photovoltaic penetration in residential distribution networks using demand side management and active voltage control

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