Abstract:
Objective Focusing on the development of shipboard Hybrid Energy Storage Systems ( HESSs) planning and operation strategy design under complex working conditions, a multi-objective co-optimization method with higher adaptability to working conditions is proposed.
Methods First, priority is given to smoothing power fluctuations in the genset, and the total power output of HESS is determined using Model Predictive Control (MPC). Then, the interplay between HESS capacity configuration and the Energy Management Strategy (EMS) is taken into account, incorporating an adaptive power allocation mechanism proposed in this paper, the Harris Hawk Optimization (HHO) algorithm is employed to solve the optimization model, with the goal of minimizing investment cost and battery degradation cost.
Results These results demonstrate that the co-optimization method based on MPC-HHO can effectively reduce the power fluctuation of the genset, the average power fluctuation rate after optimization is reduced by 73.24% compared to before optimization. Meanwhile, compared with the single-layer optimization, the co-optimization method can effectively reduce the investment cost and battery degradation cost.
Conclusions Adding a HESS to the ship electric power system can effectively improve the stability of the power grid. The research can provide reference for planning and designing operation strategy of shipboard HESSs.
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