Online Efficiency Optimization of a Six-Phase Induction Generator Using Loss Model Control for Micro-Hydropower Systems

Marius Ouédraogo, Amine Yazidi and Franck Betin ()
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Marius Ouédraogo: Laboratory of Innovative Technologies (LTI, UR 3899), University of Picardie Jules Verne, 80000 Amiens, France
Amine Yazidi: Laboratory of Innovative Technologies (LTI, UR 3899), University of Picardie Jules Verne, 80000 Amiens, France
Franck Betin: Laboratory of Innovative Technologies (LTI, UR 3899), University of Picardie Jules Verne, 80000 Amiens, France

Energies, 2025, vol. 18, issue 14, 1-18

Abstract: This paper presents an online efficiency optimization strategy for a six-phase induction generator (6PIG) operating in both healthy and faulty modes for micro-hydropower applications. The proposed method is based on an extended Loss Model Control (LMC) approach, in which the direct axis stator current Id is dynamically optimized in real time to minimize the total electrical losses. Unlike conventional LMC strategies, this method explicitly incorporates switching losses into the loss model, along with stator and rotor copper losses and iron losses. The optimization problem is solved using a numerical minimization routine, allowing the control system to adapt continuously to variations in torque requests. The proposed approach is validated under both healthy and faulty configurations of the 6PIG. It is implemented and tested through simulation in MATLAB/Simulink ® and experimentally validated on a 24 kW squirrel cage six-phase induction generator (SC6PIG). The results are compared in terms of power losses, energy saving, and efficiency.

Keywords: six-phase induction generator; fault tolerant; micro-hydropower; efficiency optimization; field-oriented control; loss model control; real time (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2025
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