Capacity configuration optimization of multi-energy system integrating wind turbine/photovoltaic/hydrogen/battery

Wind and solar energy are paid more attention as clean and renewable resources. However, due to the intermittence and fluctuation of renewable energy, the problem of abandoning wind and photovoltaic power is serious in China. Hydrogen production by water electrolysis is the effective way to solve the problem of renewable energy absorption. However, the multi-energy system has several optimization objectives for the capacity configuration, which are generally conflicting. The impossible triangle problem in the system is difficult to solve. Furthermore, the system capacity configuration is greatly affected by factors such as operating mode and energy storage form, etc. Therefore, the three different application scenarios are proposed both in the off-grid and grid-connected system, in which the energy storage system consists of only battery, only hydrogen, both hydrogen and battery, respectively. The system operation strategy is based on that the main purpose of hydrogen energy is storage, transportation and utilization alone. The multi-objective capacity configuration optimization based on the improved NSGA-IIalgorithm is proposed, which is verified to be superior to NSGA-IIand MOPSO. The capacity configurations of off-grid and grid-connected multi-energy systems are compared and analyzed. The economy of grid-connected system is better than that of off-grid system. The sensitivity analysis of important parameters is carried out such as wind/solar resources, load level and equipment price. The average wind speed has the significant impact on the net present value of the system. The capacity configuration and operation strategy proposed in this paper are effectively feasible to increase the renewable energy accommodation and meet comprehensive performance requirements of multi-energy complementary system. (c) 2022 Elsevier Ltd. All rights reserved.

Automated summary

This study addresses the issue of wind and photovoltaic power abandonment in China by proposing hydrogen production through water electrolysis as a solution. Three different application scenarios, along with capacity configuration and operation strategies, are analyzed. The improved NSGA-II algorithm is used for multi-objective capacity configuration optimization, proving its superiority over other algorithms. The economic comparison between off-grid and grid-connected systems is conducted, along with sensitivity analysis of important parameters.