Energy management strategy of hybrid power based on adaptive perturbation whale optimization algorithms

A new energy management strategy based on the improved whale optimization algorithm is proposed in this paper to solve the optimal power allocation of hybrid power system, which is aimed at balancing and improving the power and economy of marine hybrid power system in both directions. To tackle the poor power response and speed tracking issues of natural gas engines, the performance index function is expanded using the principle of minimizing fuel consumption in the equivalent consumption minimization strategy. A weighting term is added to suppress frequent fluctuations and ensure timely power tracking of the natural gas engine. An adaptive perturbation whale optimization algorithm, enhanced by incorporating the particle swarm optimization algorithm, is developed to prevent the whale optimization algorithm from falling into local optima. The simulation results indicate that the energy management strategy based on the adaptive perturbation whale optimization algorithm can achieve fuel savings of 5% to 8% and significantly improve power tracking performance with robust stability. © 2024 Editorial Board of Journal of Harbin Engineering. All rights reserved.