Optimal Performance of Switched Reluctance Generator in Stand-alone Wind Systems

Autor(es)

dos Santos Neto, Pedro Jose ; Catata, Elmer Hancco ; dos Santos Barros, Tarcio Andre ; Ruppert Filho, Ernesto ; IEEE

• Tipo de documento: Artigo Científico
• Fonte: 2021 13TH ANNUAL IEEE GREEN TECHNOLOGIES CONFERENCE GREENTECH 2021; v. N/A, p. 7-pg., 2021-01-01.

Resumo

This paper presents a proposal of optimization procedure to improve the switched reluctance generator (SRG) performance in stand-alone wind systems. The proposed optimization aims to obtain a tradeoff between efficiency and torque ripple throughout an offline selection of the SRG firing angles and excitation voltage. Design of computational experiments are conducted to obtain the optimal parameters, thereby reducing the computational burden. In the stand-alone operation, the SRG wind turbine supplies the load voltage; thus, the optimal SRG excitation voltage is controlled by the SRG drive, while a boost converter regulates the load voltage requirements. Due to load variations, different optimal set of parameters are encountered depending upon the power being supplied by the SRG. Therefore, a multiple set of SRG optimal parameters are identified based on the load power consumption. Simulation results are shown to demonstrate the viability of the proposal. (AU)

• Processo FAPESP: 17/21087-8 - Estudo e implementação do controle e do gerenciamento energético de uma microrrede em corrente contínua, com sistema de geração de energia elétrica a partir de energia eólica, usando gerador elétrico de relutância variável
• Beneficiário: Pedro Jose dos Santos Neto
• Modalidade de apoio: Bolsas no Brasil - Doutorado
• 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