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Optimal capacitor value calculation for self excited induction generators using hybrid grey wolf differential
Sanket Prakash Jadhav1, Mrinal Kanti Rajak2, Meenakshi Mukund Pawar3
1Department of Electrical Engineering, SVERI's College of Engineering, Pandharpur, Maharashtra, 413304, India.
Abstract:
Self-excited induction generators (SEIGs) are extensively used in isolated micro-hydro and wind energy systems due to their rugged construction, low maintenance, and inherent short-circuit protection. However, the determination of optimal excitation capacitance remains a challenging nonlinear problem. The capacitor value directly governs voltage buildup, steady-state regulation, operating frequency, and power quality under varying speed and load conditions. This paper proposes a hybrid Grey Wolf Optimizer-Differential Evolution (GWO-DE) algorithm for optimal capacitor value calculation in three-phase SEIGs. The capacitor selection is formulated as a constrained single-objective optimization problem. Three design criteria (voltage-regulation quality, operating-speed range, and capacitor cost) are combined a priori through a fixed weighted-sum scalarization, based on the steady-state per-phase equivalent circuit incorporating core losses and a fifth-order polynomial magnetizing characteristic. An adaptive switching parameter transitions the search from GWO-dominant exploration to DE-dominant exploitation, while an elite archive and stagnation-triggered reinitialization prevent premature convergence. The proposed GWO-DE is benchmarked against PSO, standard GWO, GA, and Nelder-Mead across 24 operating conditions spanning six speed levels and four load levels. All reported optimization metrics are obtained from 30 independent runs. Results demonstrate that GWO-DE achieves 3.07× better mean fitness than PSO, 15.18× better than standard GWO, and 22.92× better than GA, with 38.7% faster convergence than PSO. The optimized capacitor maintains terminal voltage within ±5% of rated value up to 85% load, with voltage THD compliant with IEEE 519 limits. Experimental validation on a 3.7 kW laboratory SEIG prototype using a Fluke 435-II power quality analyzer confirms the predictions with an average error of 2.32%. A capacitor value contour map across the speed-load space is provided as a practical design tool for field installations.
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