| Texto completo | |
| Autor(es): |
Moreira, Alexandre C.
[1]
;
Paredes, Helmo K. M.
[2]
;
de Souza, Wesley A.
[3]
;
Marafao, Fernando P.
[2]
;
da Silva, Luiz C. P.
[3]
Número total de Autores: 5
|
| Afiliação do(s) autor(es): | [1] Univ Fed Sao Joao del Rei, BR-36420000 Ouro Branco - Brazil
[2] Sao Paulo State Univ, Inst Sci & Technol, BR-18087180 Sorocaba - Brazil
[3] Univ Estadual Campinas, Sch Elect & Comp Engn, BR-13081970 Campinas, SP - Brazil
Número total de Afiliações: 3
|
| Tipo de documento: | Artigo Científico |
| Fonte: | IEEE TRANSACTIONS ON SMART GRID; v. 9, n. 6, p. 6951-6960, NOV 2018. |
| Citações Web of Science: | 2 |
| Resumo | |
This paper presents an expert system (ES) based on decoupled power/current decomposition and the k-nearest neighbor pattern recognition method to identify and choose the correct mitigation solution for power quality improvement in three-phase ac microgrids under non-sinusoidal current and voltage operations. By using power/current terms, load conformity factors and a k-nearest neighbor classifier, the proposed ES achieved 99.98% classification accuracy. Simulation studies were carried out in a PSCAD/EMTDC environment, where the IEEE 13-bus feeder test system was in a grid connected microgrid mode. The obtained results indicate that the proposed ES is robust and able to easily select an appropriate/adequate compensation solution. (AU) | |
| Processo FAPESP: | 13/08545-6 - Estudo de Técnicas de Controle Localizado e/ou Cooperativo para Microrredes Inteligentes de Baixa Tensão |
| Beneficiário: | Helmo Kelis Morales Paredes |
| Modalidade de apoio: | Auxílio à Pesquisa - Regular |
| Processo FAPESP: | 16/08645-9 - Pesquisas Interdisciplinares em Redes Inteligentes de Energia Elétrica |
| Beneficiário: | João Bosco Ribeiro do Val |
| Modalidade de apoio: | Auxílio à Pesquisa - Temático |