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Optimal coordinated control of hybrid AC/VSC-HVDC system integrated with DFIG via cooperative beetle antennae search algorithm.
Hao, Junfang; Huang, Jinhai; Zhang, Ailing; Ai, Hongjie; Zhang, Qun; Yang, Bo.
Afiliação
  • Hao J; XJ Electric Co., Ltd., Xuchang, China.
  • Huang J; XJ Electric Co., Ltd., Xuchang, China.
  • Zhang A; XJ Electric Co., Ltd., Xuchang, China.
  • Ai H; XJ Electric Co., Ltd., Xuchang, China.
  • Zhang Q; XJ Electric Co., Ltd., Xuchang, China.
  • Yang B; Faculty of Electric Power Engineering, Kunming University of Science and Technology, Kunming, China.
PLoS One ; 15(11): e0242316, 2020.
Article em En | MEDLINE | ID: mdl-33206662
ABSTRACT
Nowadays, with the significant integration of various renewable energy, hybrid alternating current/ voltage source converter based high voltage direct current (AC/VSC-HVDC) system integrated with doubly-fed induction generator (DFIG) has achieved rapidly development in smart grid. A proper control system design for hybrid AC/VSC-HVDC system plays a very crucial role for a reliable and effective power transmission. Hence, this paper designs a novel cooperative beetle antenna search (CBAS) algorithm for optimal coordinated control of hybrid AC/VSC-HVDC system integrated with DFIG. Compared with original beetle antennae search (BAS) algorithm, CBAS algorithm can significantly improve searching efficiency via an efficient cooperation with a group of multiple beetles instead of a single beetle. Particularly, CBAS algorithm can effectively escape from local optimums thanks to its dynamic balance mechanism, which can maintain appropriate trade-off between global exploration and local exploitation. Moreover, three case studies are undertaken to validate the effectiveness and superiorities and effectiveness of CBAS algorithm compared against that of other traditional meta-heuristic algorithms. Especially, the average results of fitness function acquired by CBAS algorithm is merely 46.05%, 41.18%, and 47.82% of that of PSO, GA, and BAS algorithm, respectively.
Assuntos

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Fontes de Energia Elétrica / Algoritmos / Condutividade Elétrica Tipo de estudo: Prognostic_studies Idioma: En Ano de publicação: 2020 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Fontes de Energia Elétrica / Algoritmos / Condutividade Elétrica Tipo de estudo: Prognostic_studies Idioma: En Ano de publicação: 2020 Tipo de documento: Article