Energy management and capacity allocation method of hybrid energy storage system based on port transportation-energy coupling characteristics

Abstract

To promote the consumption of renewables in ports, based on the transportation-energy coupling characteristics of ports, a nested bi-layer energy management and capacity allocation method of hybrid energy storage system (HESS) is proposed to coordinate the imbalance between hydrogen/ electricity supply and demand. First, to coordinate the imbalance between multi-energy supply and demand, a multi-energy load model based on traffic scheduling in ports is established to realize the demand-side management of load. Then, considering carbon emission costs of ports and degradation costs of HESS, a “transportation-energy” collaborative scheduling model is proposed with the goal of optimizing the daily operating costs of ports. Furthermore, a HESS capacity allocation model is formulated with the goal of minimizing the annual operational life cycle cost of ports. Finally, to improve the accuracy and efficiency of solving the capacity allocation model, an improved model-pursuing sampling (MPS) algorithm based on the metamodel is presented. The simulation results based on port historical data show that, compared with the traditional scheduling method, the daily operating cost of the collaborative scheduling method is reduced by 7.2 %. Compared with empirical capacity, under the optimal HESS capacity, the annual cost of the port is reduced by 8.2 %. The annualized cost of ports obtained under the improved MPS algorithm is lower.