Capacity Configuration Optimization of an Offshore Wind-Solar-Storage Hybrid Power Generation System

To solve the coordinated optimization problem of economic efficiency and reliability in the capacity configuration of offshore wind-solar-storage hybrid power generation systems, this study developed a multiobjective capacity configuration optimization model, with the levelized cost of electricity (LCOE) and loss of power supply probability (LPSP) considered as objective functions. The aim was to identify an optimal configuration that balances economic efficiency and reliability of such systems. The nondominated sorting genetic algorithm Ⅱ was employed to solve the model and obtain a Pareto optimal solution set. Subsequently, an improved technique for order of preference by similarity to an ideal solution method, combined with gray relation analysis, was employed to rank the Pareto solutions and identify the optimal configuration considering overall performance. A case study was conducted to verify the effectiveness of the proposed model. The results showed that the optimal configuration exhibited an offshore wind capacity of 490.37 MW, offshore solar capacity of 463.96 MW, and energy storage capacity of 398.09 MW. In this configuration, the LCOE was 0.647 8 yuan/(kW·h), and the LPSP was 1.08%. The findings provide theoretical support and practical guidance for the future development of offshore wind-solar-storage hybrid power generation systems.