Passivity-Based Control for Small Hydro-Power Generation with PMSG and VSC

This paper presents a passivity-based control method for a small hydro-power system that consists of a permanent magnet synchronous generator (PSMG) connected to the grid through a back-to-back converter. Nonlinear models of the hydraulic, mechanical, and electrical parts of the small hydro-power sy...

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Bibliographic Details
Published in:IEEE access 2020-01, Vol.8, p.1-1
Main Authors: Gil-Gonzalez, Walter, Garces, Alejandro, Fosso, Olav
Format: Article
Language:English
Subjects:
back-to-back converter
Control methods
Control stability
Control theory
Controllers
Converters
Dynamic stability
Electric power systems
energy conversion power systems
Hydroelectric plants
Passivity
permanent magnet synchronous generation (PMSG)
Permanent magnets
Power plants
Small hydro-power
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Summary:This paper presents a passivity-based control method for a small hydro-power system that consists of a permanent magnet synchronous generator (PSMG) connected to the grid through a back-to-back converter. Nonlinear models of the hydraulic, mechanical, and electrical parts of the small hydro-power system are considered. Two approaches in the realm of passivity-based control are implemented, namely, standard passivity-based control and PI-passive. These controls consider the intrinsic characteristics of the model, which has a port-Hamiltonian (pH) structure with a small hydro-power system in open-loop. The purpose is to design a control law with passive output which ensures asymptotic stability for closed-loop operation in the sense of Lyapunov's theory. The paper is practically oriented, and hence, the proposed controllers are tested and compared with a conventional approach, in a 13.2 kV distribution feeder. The proposed controllers have been assessed and compared with a classical PI controller considering steady state and transient behaviors in small hydro-power plants (SHPs). Simulation results show that the proposed methodology guarantees stability and offers better dynamical performance.
ISSN:2169-3536
2169-3536
DOI:10.1109/ACCESS.2020.3018027