Multi-Objective Design Optimization for HVDC-LCC Converter Transformers: Analytical and FEA-Based Comparison
The emerging HVDC technology has been used for long-distance power transmission, increasing flexibility to the power systems, handling asynchronous interconnections, crossing long-distance submarine cables, unusual loading, and generation profiles, and improving energy market relations. The HVDC con...
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| Format: | Article |
| Language: | English |
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IEEE
2023-01-01
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| Series: | IEEE Access |
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| Online Access: | https://ieeexplore.ieee.org/document/10061229/ |
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| author | Marcos V. Czernorucki Mauricio Barbosa Camargo De Salles Sergio Luciano Avila Felipe Alves Sobrinho Wilerson W. Calil Jose Roberto Cardoso |
| author_facet | Marcos V. Czernorucki Mauricio Barbosa Camargo De Salles Sergio Luciano Avila Felipe Alves Sobrinho Wilerson W. Calil Jose Roberto Cardoso |
| author_sort | Marcos V. Czernorucki |
| collection | DOAJ |
| description | The emerging HVDC technology has been used for long-distance power transmission, increasing flexibility to the power systems, handling asynchronous interconnections, crossing long-distance submarine cables, unusual loading, and generation profiles, and improving energy market relations. The HVDC converter transformers are designed based on system parameters, that directly affect the core and windings geometries, thus the weight and operating losses. In a standard design process, the designer adjusts the active part dimensions, until the constructive and specified aspects, moreover, the technical standard restrictions, are satisfied. The main contribution is to formulate analytic equations, in a way that losses and weight can be obtained for several options of core and windings geometry. However, weight and losses are opposite objectives in the search for an optimal solution. Understanding this compromise between opposing goals is relevant to the equipment learning process. In this context, another significant contribution of the work is to carry out a formal optimization process through the analytical formulation developed. To minimize the weight and operating losses, and subject to IEC standards and constructive restrictions, the multi-objective Genetic Algorithm has been used to search for the Pareto Frontier. Far beyond the chosen solution, the non-dominated frontier obtained for each transformer design, allows the designer to learn about the equipment and its operation, leading to a continuous improvement of the proposed methodology. The analytical formulation is validated by an alternative numerical methodology for winding harmonic losses and short-circuit impedance verification, providing meaningful confidence for the applied method. |
| first_indexed | 2024-04-10T00:45:31Z |
| format | Article |
| id | doaj.art-e3c970b9fa8047d59c00f25ac543d1c1 |
| institution | Directory Open Access Journal |
| issn | 2169-3536 |
| language | English |
| last_indexed | 2024-04-10T00:45:31Z |
| publishDate | 2023-01-01 |
| publisher | IEEE |
| record_format | Article |
| series | IEEE Access |
| spelling | doaj.art-e3c970b9fa8047d59c00f25ac543d1c12023-03-13T23:00:43ZengIEEEIEEE Access2169-35362023-01-0111230322304510.1109/ACCESS.2023.325339210061229Multi-Objective Design Optimization for HVDC-LCC Converter Transformers: Analytical and FEA-Based ComparisonMarcos V. Czernorucki0https://orcid.org/0000-0002-7660-3604Mauricio Barbosa Camargo De Salles1https://orcid.org/0000-0002-3233-6778Sergio Luciano Avila2https://orcid.org/0000-0002-0018-196XFelipe Alves Sobrinho3Wilerson W. Calil4Jose Roberto Cardoso5Laboratory of Advanced Electric Grids (LGRID), Polytechnic School of the University of São Paulo, São Paulo, BrazilLaboratory of Advanced Electric Grids (LGRID), Polytechnic School of the University of São Paulo, São Paulo, BrazilLaboratory of Advanced Electric Grids (LGRID), Polytechnic School of the University of São Paulo, São Paulo, BrazilHitachi Energy Ltd., Guarulhos, BrazilHitachi Energy Ltd., Guarulhos, BrazilLaboratory of Advanced Electric Grids (LGRID), Polytechnic School of the University of São Paulo, São Paulo, BrazilThe emerging HVDC technology has been used for long-distance power transmission, increasing flexibility to the power systems, handling asynchronous interconnections, crossing long-distance submarine cables, unusual loading, and generation profiles, and improving energy market relations. The HVDC converter transformers are designed based on system parameters, that directly affect the core and windings geometries, thus the weight and operating losses. In a standard design process, the designer adjusts the active part dimensions, until the constructive and specified aspects, moreover, the technical standard restrictions, are satisfied. The main contribution is to formulate analytic equations, in a way that losses and weight can be obtained for several options of core and windings geometry. However, weight and losses are opposite objectives in the search for an optimal solution. Understanding this compromise between opposing goals is relevant to the equipment learning process. In this context, another significant contribution of the work is to carry out a formal optimization process through the analytical formulation developed. To minimize the weight and operating losses, and subject to IEC standards and constructive restrictions, the multi-objective Genetic Algorithm has been used to search for the Pareto Frontier. Far beyond the chosen solution, the non-dominated frontier obtained for each transformer design, allows the designer to learn about the equipment and its operation, leading to a continuous improvement of the proposed methodology. The analytical formulation is validated by an alternative numerical methodology for winding harmonic losses and short-circuit impedance verification, providing meaningful confidence for the applied method.https://ieeexplore.ieee.org/document/10061229/HVDCtransformerdesignlossesoptimization |
| spellingShingle | Marcos V. Czernorucki Mauricio Barbosa Camargo De Salles Sergio Luciano Avila Felipe Alves Sobrinho Wilerson W. Calil Jose Roberto Cardoso Multi-Objective Design Optimization for HVDC-LCC Converter Transformers: Analytical and FEA-Based Comparison IEEE Access HVDC transformer design losses optimization |
| title | Multi-Objective Design Optimization for HVDC-LCC Converter Transformers: Analytical and FEA-Based Comparison |
| title_full | Multi-Objective Design Optimization for HVDC-LCC Converter Transformers: Analytical and FEA-Based Comparison |
| title_fullStr | Multi-Objective Design Optimization for HVDC-LCC Converter Transformers: Analytical and FEA-Based Comparison |
| title_full_unstemmed | Multi-Objective Design Optimization for HVDC-LCC Converter Transformers: Analytical and FEA-Based Comparison |
| title_short | Multi-Objective Design Optimization for HVDC-LCC Converter Transformers: Analytical and FEA-Based Comparison |
| title_sort | multi objective design optimization for hvdc lcc converter transformers analytical and fea based comparison |
| topic | HVDC transformer design losses optimization |
| url | https://ieeexplore.ieee.org/document/10061229/ |
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