Demand Response for Operational Life Extension and Efficient Capacity Utilization of Power Transformers During Contingencies

Humayun, Muhammad; Safdarian, Amir; Degefa, Merkebu Zenebe; Lehtonen, Matti

doi:10.1109/tpwrs.2014.2358687

Cited by 45 publications

(27 citation statements)

References 26 publications

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“…The usual method of reinforcement for a growing load is expensive, therefore, utilities tend to increase the utilisation of already installed transformers which results into highly utilised systems. DR, as a solution for load modification in the electricity network, can be utilised during contingencies to mitigate the LOL, while simultaneously the transformer utilisation efficiency can be improved and monetary savings can be achieved in terms of deferred reinforcements [15]. The impacts of DR and other features of smart grids have also been investigated on the aging of transformers in the literature [15,16,86].…”

Section: Demand Responsementioning

confidence: 99%

“…The model selects combination of the best remedial actions among DR, load curtailment and transferring load to a neighbouring substation [15]. Humayun et al, also proposed an optimization model that quantifies the improvement of transformer utilisation through DR based on transformer θ h and applied to typical Finnish residential primary and secondary distribution transformers [16].…”

Section: Demand Responsementioning

confidence: 99%

“…Several results point out that the transformers utilisation can be increased considerably by using DR, which can also mitigate the LOL. The magnitude of the use benefit depends on the DR capability of the load and the loading increase can provide monetary benefits by delaying the investments in new equipment [15].…”

Section: Demand Responsementioning

confidence: 99%

“…They are traditionally designed and operated with loadings between 40% and 60% in order to ensure reliability during contingencies [14]. For example, approximately 25% of distribution assets in the United States of America are used only for 440 h of peak load [15]. Additionally, due to the load growth, at substations an upgrade of power transformers is needed.…”

Section: Introductionmentioning

confidence: 99%

“…As a result, new solutions for load modification in the grid need to be implemented during contingencies in order to mitigate the LOL. Therefore, transformer utilisation efficiency can be increased and economic savings can be accomplished in terms of postponed reinforcements and thus, the overall sustainability is increased as well [15].…”

Section: Introductionmentioning

confidence: 99%

See 4 more Smart Citations

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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Section: Demand Responsementioning

confidence: 99%

Section: Demand Responsementioning

confidence: 99%

Section: Demand Responsementioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 3 more Smart Citations

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

et al. 2015

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Demand Response from Residential Consumers: Potentials, Barriers, and Solutions

Safdarian

Fotuhi‐Firuzabad

Lehtonen

2018

Energy Systems in Electrical Engineering

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Transformers loss of life management in smart distribution networks using a new hybrid method based on optimal demand response programs and cost–benefit analysis

Dehghani

Vahidi

2021

Electr Eng

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The increasing trend in electrical energy consumption leads to increase the amount of stress imposed on the equipment and subsequently reduces their life. On the other hand, in a restructured and competitive electricity environment, system operators are looking for increasing the profitability, efficiency, and service life of their network equipment while considering customer welfare. Transformers are one of the most expensive elements of the distribution network, and improving their service life increases the efficiency and reliability of the network. Therefore, in this paper, by proposing a new cost-benefit objective function, an optimal demand response model is proposed in order to extend the life of distribution transformers considering technical and economic constraints. The life extension results are analyzed by translating them into economic concepts and the amount of profits and losses made by implementing the presented method are investigated. The proposed method is applied on a realistic distribution network of Sirjan city in Iran for eight typical days, corresponding to seasons and to weekdays and weekends. It should be noted that the optimization problem is carried out by taking into account the complex patterns of different types of consumers and their combination. The results show a significant reduction in the loss of life rate of distribution transformers along with reduction in loss of energy, which bring considerable benefits to the distribution network's stakeholders. KeywordsDistribution transformers • Loss of life • Demand response programs B Behrooz Vahidi

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Demand Response for Operational Life Extension and Efficient Capacity Utilization of Power Transformers During Contingencies

Cited by 45 publications

References 26 publications

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

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

Demand Response from Residential Consumers: Potentials, Barriers, and Solutions

Transformers loss of life management in smart distribution networks using a new hybrid method based on optimal demand response programs and cost–benefit analysis

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