Power Transformer Design Resorting to Metaheuristics Techniques

Autor:	Rita Pereira, Pedro J. H. Alves, P. M. Fonte
Rok vydání:	2021
Předmět:	Consistency (database systems) Variable (computer science) Electric power system Computer science Key (cryptography) Sensitivity (control systems) Metaheuristic Manufacturing cost Reliability engineering Compensation (engineering)
Zdroj:	IFIP Advances in Information and Communication Technology ISBN: 9783030782870 DoCEIS
DOI:	10.1007/978-3-030-78288-7_19
Popis:	Power transformers have a key role in the power system grids. Their manufacturing and design must consider several aspects, such as technical limits, legal constrains, security constrains and manufacturing price. Considering only power transformers’ active parts, it is possible to identify 20 manufacturing specific parameters, and in economic point of view, 13 variables are also considered. Using a classic approach, variables are chosen accordingly with the defined constraints, followed by a sensitivity analysis preformed to each variable, to optimize the manufacturing cost. This procedure can be time consuming and the optimum may not be reached. In this paper, genetic algorithms are used. An innovative approach through the introduction of genetic compensation concept in mutation operator is detailed. Results pointed out an increased performance and consistency when compared with the classical approach.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_________::7c7d1a71221bb76c912a3e1b1ba1487c https://doi.org/10.1007/978-3-030-78288-7_19 Zobrazit plný text záznamu