Power transformer optimal design (PTOD) using an innovative heuristic method combined with FEM technique

Summary Different optimization algorithms and methods have been proposed in recent decades, most of which are somehow inspired from nature and natural events, especially those that can simply be analyzed and formulated. This work aims to propose a new optimization method inspired from growth and fecundity process of plants, which enable it to prune some branches of the plant or tree, that is, bad parts of the search space which do not meet the problem constrains and rapidly search the whole search space. By analogy, we can prune the search space of an optimization problem, cutting and ignoring its bad parts, the parts that certainly do not meet the problem constrains, so that the search speed and quality can be improved considerably. By improving the search quality, we mean to completely get rid of being trapped in local minimum. There are subtle similarities between pruning a tree to improve its fertility and pruning a search space of an optimization problem to improve the prosperity of optimization algorithm. JMAG‐Designer software is used for the finite element analysis.

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“…In this section, the proposed method is compared with the best results of GA, HA method, and also UPS‐EMOA …”

Section: Results Of the Proposed Methods (Tpa‐fem)mentioning

confidence: 99%

“…In this section, the proposed method is compared with the best results of GA, HA method, 23 and also UPS-EMOA. 11 The results of the comparison of optimization algorithms for sample transformer is given in Tables 5 and 6.…”

Section: The Proposed Algorithm In Comparison With Other Methodsmentioning

confidence: 99%

Implementation of tree pruning method for power transformer design optimization

Soldoozy

Esmaeli

Akbari

et al. 2018

Int Trans Electr Energ Syst

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“…Majority of these methods combine the FEM method with a heuristical or mathematical programming based optimization technique [30,91,[133][134][135][136][137]. Most of these methods have searched the global cost optimum for a power transformer [33,[138][139][140][141]. The others have calculated the optimal winding distribution or another optimization subproblem [142], like [12].…”

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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“…Perubahan nilai tahanan ini merupakan salah satu faktor yang mempengaruhi besar rugi tembaga (I2R) pada transformator. [1][2][3][4][5][6] Untuk mengetahui seberapa besar pengaruh perubahan pembebanan terhadap perubahan suhu dan pengaruhnya pada rugi-rugi transformator, maka pada penelitian ini menggunakan transformator no 6 (150 kV / 20 kV, 60 MVA ) di Gardu Induk Kebonagung sebagai obyek penelitian ini. Dalam operasinya, transformator mengalami fluktuasi pembebanan yang bervariasi pada setiap waktunya, hal ini akan berpengaruh pada perubahan temperature hotspot yang berimbas pada perubahan besarnya tahanan transformator penyebab rugi-rugi transformator.…”

Section: Pendahuluanunclassified

Studi pengaruh pembebanan terhadap perubahan suhu dan perubahan rugi - rugi daya pada transformator

Sutjipto

2020

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Obyek dari penelitian ini adalah transformator no 6 di Gardu Induk Kebonagung (150 kV / 20 kV, 60 MVA) di mana pada saat beroperasi akan mengalami fluktuasi pembebanan yang bervariasi. Untuk mendukung proses analisis maka pengambilan data (name plate, data harian trafo, suhu dll) dalam penelitian ini dilaksanakan secara langsung dalam periode tertentu pada transformator no 6 di GI Kebonagung. Setelah dilaksanakan analisa secara perhitungan & grafis maka diketahui bahwa fluktuasi pembebanan dari transformator dan perubahan suhu lingkungan menyebabkan perubahan temperature hotspot dari kumparan. Semakin besar temperatur hotspot dan suhu lingkungan, maka akan berimbas dengan naiknya nilai tahanan transformator. Jika tahanan semakin besar maka menyebabkan nilai rugi tembaga transformator juga akan semakin besar.. Meskipun demikian, besarnya temperature hotspot (52,5oC) masih di bawah standar IEC 60076-7 (120oC) dan besarnya rugi inti (26,47 kW (0,0367 %)) dan rugi total (1.721,99 kW (2,87 %)) juga masih di bawah standar yang ditentukan pada SPLN D3.002-1:2007 yaitu 10% untuk rugi inti dan 5% untuk rugi total transformator. The object of this research is transformer no. 6 at the Kebonagung Substation (150 kV / 20 kV, 60 MVA) where during operation it will experience variable loading fluctuations. To support the analysis process, the data collection (name plate, daily transformer data, temperatures, etc.) in this study was carried out directly in a certain period in transformer no 6 in Kebonagung GI. After calculating & graphical analysis, it is known that the fluctuation in loading of the transformer and changes in ambient temperature cause changes in the hotspot temperature of the coil. The greater the hotspot temperature and ambient temperature, the higher the impact value of the transformer. If the resistance increases, the copper loss value of the transformer will also increase. However, the magnitude of the hotspot temperature (52.5oC) is still below the IEC 60076-7 (120oC) standard and the amount of core loss (26.47 kW (0, 0367%)) and total loss (1,721.99 kW (2.87%)) are also still below the standard specified in SPLN D3.002-1: 2007 which is 10% for core loss and 5% for total transformer loss.

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Power transformer optimal design (PTOD) using an innovative heuristic method combined with FEM technique

Cited by 9 publications

References 11 publications

Implementation of tree pruning method for power transformer design optimization

Implementation of tree pruning method for power transformer design optimization

Evolution and Modern Approaches of the Power Transformer Cost Optimization Methods

Studi pengaruh pembebanan terhadap perubahan suhu dan perubahan rugi - rugi daya pada transformator

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