Optimal sizing of hybrid energy storage for seaport integrated energy system

Abstract

Renewable energy resources curtailment problem can be alleviated by utilizing energy storage systems. However, electric energy storage and thermal energy storage are always designed separately, which leads to improper sizing and undesired cost. In order to improve the performance of seaport integrated energy system (SIES) and increase the integration of wind power in seaport microgrid, this paper proposes an optimal algorithm for a hybrid energy storage. In this optimization problem, the economic cost, including the investment cost of energy storage, the electricity purchasing cost, the wind curtailment cost, and the maintenance cost of electric conversion device, is considered with various operation constraints. Furthermore, a mathematical model of SIES is established based on the coupling subsystem with wind power generation, electricity loads and thermal loads. A comparative study of four different scenarios is conducted to ensure the optimal strategy of SIES operation by using the particle swarm optimization algorithm. Numerical results indicate that the proposed method can optimally determine the size of hybrid energy storage system. With the help of optimization algorithm, the total cost of the seaport microgrid is reduced.