Loss Evaluation and Total Ownership Cost of Power Transformers—Part II: Application of Method and Numerical Results

Charalambous, Charalambos A.; Milidonis, Andreas; Hirodontis, S.; Lazari, Antonis L.

doi:10.1109/tpwrd.2013.2262507

Cited by 14 publications

(12 citation statements)

References 10 publications

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“…At the end of the 20th century, most of the published methods have used the lifetime cost of the transformer to determine the cost-optimal key-design parameters [1,14,91]. A lot of papers and a standardized methodology [123] has been published at that time which deal with the more complex and accurate evaluation of the capitalization factors [91,97,103,[124][125][126][127][128]. The latest methods take into consideration not only the economic but the environmental aspects as well [91,126,128].…”

Section: Analytical Cost Optimization Methodsmentioning

confidence: 99%

Evolution and Modern Approaches of the Power Transformer Cost Optimization Methods

Orosz

2019

Period. Polytech. Elec. Eng. Comp. Sci.

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Transformer design is a challenging engineering task, where the different physical fields have to be harmonized together to fulfill the implied specifications. Due to the difficulty of this task, it can be separated into several subproblems. The first subproblem, in the pre-concept phase, during the transformer design is the calculation of the cost optimal key-design parameters, where not only the technical but also the economical parameters have to be considered, as well. This subproblem belongs to the most general branch of the non-linear mathematical optimization problems. This paper presents the main directions of the evolution and trends in the power transformer design. Main directions of the considered research and the future trends in the field of preliminary design transformer optimization methods are summarized.

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Section: Analytical Cost Optimization Methodsmentioning

confidence: 99%

Evolution and Modern Approaches of the Power Transformer Cost Optimization Methods

Orosz

2019

Period. Polytech. Elec. Eng. Comp. Sci.

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“…A proposed method is hereby introduced and numerically evaluated in the companion paper [3] by utilizing characteristics from a real system. The method uses statistical and economic models tailored for forecasting purposes.…”

Section: A Advancements Of the Proposed Methods Beyond The State Of Tmentioning

confidence: 99%

“…It is stressed that the method presented is applicable to transformer users who own their own generation and transmission facilities. Finally, in a companion paper [3], the application of the proposed method, on a real system, is presented.…”

Section: Loss Evaluation and Total Ownership Cost Of Powermentioning

confidence: 99%

“…As an approximation an annual average efficiency, the value is assumed in (10). denotes the number of different fuels used in the electricity generation mix while LT denotes the life cycle of the transformer evaluated Hence, the forecasted fuel consumption per year is subsequently combined with the annual forecasted cost of each individual fuel to obtain a total future fuel cost A proposed method for estimating the annual forecasted cost of each individual fuel is numerically evaluated in the companion paper [3] by utilizing a widely used approach in economics (Markov-regime switching models) [19].…”

Section: Escalated Energy-related Pricesmentioning

confidence: 99%

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Loss Evaluation and Total Ownership Cost of Power Transformers—Part I: A Comprehensive Method

Charalambous

Milidonis

Lazari

et al. 2013

IEEE Trans. Power Delivery

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The key techniques employed in this paper reflect on a comprehensive method for calculating the cost of the electric power and energy needed to supply the life-cycle losses of power transformers. The method is applicable to transformer users who possess their own generation and transmission facilities. The proposed loss evaluation method is based on factors derived from relevant historical and forecasted data that are combined to determine the total ownership cost of power transformers. Finally, in a companion paper, the method is evaluated on a small-scale real system. Index Terms-Demand component of losses, energy component of losses, power transformers, system and cost parameters.

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“…To this end, the TOC is considered, by stakeholders, as a decision-making tool and, therefore, its implementation depends on their discretion [3], [4]. There is sufficient evidence in the literature that loss evaluation techniques have been used over the course of the past few decades, for defining the ownership cost including the value of losses of power transformers [6]- [11].…”

Section: Introductionmentioning

confidence: 99%

Probabilistic Total Ownership Cost of Power Transformers Serving Large-Scale Wind Plants in Liberalized Electricity Markets

Lazari

Charalambous

2015

IEEE Trans. Power Delivery

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This paper defines a probabilistic, life-cycle loss evaluation method to evaluate the total ownership cost of power transformers that are obliged to exclusively serve large wind plants. The method that is introduced responds to the ongoing efforts of developing risk and cost-based decision-making processes in today's competitive and dynamic energy markets. Therefore, capitalizing the losses and, consequently, the ownership cost of transformers, serving intermittent wind energy sources, entails a probabilistic approach that integrates the financial and technical characteristics as well as the uncertainties of wind energy generation.Index Terms-Life-cycle loss evaluation, power transformers, probabilistic total ownership cost, wind energy.

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Loss Evaluation and Total Ownership Cost of Power Transformers—Part II: Application of Method and Numerical Results

Cited by 14 publications

References 10 publications

Evolution and Modern Approaches of the Power Transformer Cost Optimization Methods

Evolution and Modern Approaches of the Power Transformer Cost Optimization Methods

Loss Evaluation and Total Ownership Cost of Power Transformers—Part I: A Comprehensive Method

Probabilistic Total Ownership Cost of Power Transformers Serving Large-Scale Wind Plants in Liberalized Electricity Markets

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