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Hongchun Shu

Researcher at Kunming University of Science and Technology

Publications -  92
Citations -  3455

Hongchun Shu is an academic researcher from Kunming University of Science and Technology. The author has contributed to research in topics: Computer science & Maximum power point tracking. The author has an hindex of 19, co-authored 71 publications receiving 1731 citations.

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Grouped grey wolf optimizer for maximum power point tracking of doubly-fed induction generator based wind turbine

TL;DR: In this paper, a grouped grey wolf optimizer was proposed to obtain the optimal parameters of interactive proportionalintegral controllers of doubly-fed induction generator based wind turbine, such that a maximum power point tracking can be realized together with an improved fault ride-through capability.
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Robust sliding-mode control of wind energy conversion systems for optimal power extraction via nonlinear perturbation observers

TL;DR: In this article, a robust sliding-mode control using nonlinear perturbation observers for wind energy conversion systems (WECS), in which a doubly-fed induction generator (DFIG) is employed to achieve an optimal power extraction with an improved fault ride-through (FRT) capability.
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Novel bio-inspired memetic salp swarm algorithm and application to MPPT for PV systems considering partial shading condition

TL;DR: A novel bio-inspired optimization method developed by extending the original salp swarm algorithm with multiple independent salp chains, thus it can implement a wider exploration and a deeper exploitation under the memetic computing framework.
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Passivity-based sliding-mode control design for optimal power extraction of a PMSG based variable speed wind turbine

TL;DR: PMSG scheme of permanent magnetic synchronous generator for maximum power point tracking can simultaneously own the promising merits of improved system damping and significant robustness, together with a globally consistent control performance under various operation conditions.
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Comprehensive overview of meta-heuristic algorithm applications on PV cell parameter identification

TL;DR: This paper aims to undertake a comprehensive review on meta-heuristic algorithms and related variants which have been applied on PV cell parameter identification and presents some perspectives and recommendations for future development.