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

Charalambous, Charalambos A.; Milidonis, Andreas; Lazari, Antonis L.; Nikolaidis, Alexandros I.

doi:10.1109/tpwrd.2013.2262506

Cited by 24 publications

(21 citation statements)

References 13 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%

“…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]. Numerous FEM based optimization methods have been developed during these years to make a more accurate algorithm which can take more aspects into consideration at the beginning of the design process [9,7,17,[129][130][131][132].…”

Section: Analytical Cost Optimization Methodsmentioning

confidence: 99%

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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%

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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“…The objective function is the total cost of ownership. This function contains the manufacturing cost of the active part and the cost of the calculated losses [2,4,28]:…”

Section: Objective Function-total Cost Of Ownershipmentioning

confidence: 99%

FEM Based Preliminary Design Optimization in Case of Large Power Transformers

2020

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Since large power transformers are custom-made, and their design process is a labor-intensive task, their design process is split into different parts. In tendering, the price calculation is based on the preliminary design of the transformer. Due to the complexity of this task, it belongs to the most general branch of discrete, non-linear mathematical optimization problems. Most of the published algorithms are using a copper filling factor based winding model to calculate the main dimensions of the transformer during this first, preliminary design step. Therefore, these cost optimization methods are not considering the detailed winding layout and the conductor dimensions. However, the knowledge of the exact conductor dimensions is essential to calculate the thermal behaviour of the windings and make a more accurate stray loss calculation. The paper presents a novel, evolutionary algorithm-based transformer optimization method which can determine the optimal conductor shape for the windings during this examined preliminary design stage. The accuracy of the presented FEM method was tested on an existing transformer design. Then the results of the proposed optimization method have been compared with a validated transformer design optimization algorithm.

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“…This is due to the fact that SCs constitute a simple, easy-to-understand method with minimal technical and analytical requirements [5]. As part of our previous work [17], SCs were appropriately tailored/used to allocate a percent fixed (demand) component and a percent variable (energy) component to a particular operating cost item with respect to the capacity of the system or load factor. However, they can be equally utilized to approximate the optimum mix of generating technologies for a given system demand before engaging in more detailed production cost analyses [18].…”

Section: Cypriot Case Studymentioning

confidence: 99%

Analyzing the resilience and flexibility of power systems to future demand and supply scenarios

Panteli

Nikolaidis

Charalambous

et al. 2016

2016 18th Mediterranean Electrotechnical Conference (MELECON)

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A systematic resilience and flexibility analysis of future power systems to address the impacts of climate change and Renewable Energy penetration is becoming increasingly important, as it is expected to have a great effect on the demand and supply portfolios. Depending on the intrinsic characteristics of each power system, different aspects have to be considered in the analysis since this cannot be universal for all power systems. To highlight this, the paper presents two different case studies pertaining to the Great Britain and Cyprus networks respectively. Firstly, the resilience of the Great Britain transmission network to future demand and supply scenarios (2020, 2030 and 2050) is evaluated using a reduced version of the current Great Britain transmission network. Subsequently, the future flexibility requirements of the isolated network of Cyprus are appropriately benchmarked against future energy mix scenarios that involve conventional generation and renewable energy penetration.

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

Cited by 24 publications

References 13 publications

Evolution and Modern Approaches of the Power Transformer Cost Optimization Methods

Evolution and Modern Approaches of the Power Transformer Cost Optimization Methods

FEM Based Preliminary Design Optimization in Case of Large Power Transformers

Analyzing the resilience and flexibility of power systems to future demand and supply scenarios

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