Rapid Assessment Method for Green Power Ratio in Offshore Wind and Energy Storage Direct Supply Systems

Under the “dual carbon” goals, offshore wind and energy storage collaborative green power direct supply systems play a vital role in the green transformation of industrial parks. However, existing evaluation methods mainly focus on economic optimization, lacking the capability for rapid quantitative prediction of the green power ratio, while traditional optimization models require long computation times, limiting their applicability in time-sensitive planning decisions. This paper proposes a rapid assessment method for the green power ratio in offshore wind and energy storage direct supply systems. First, a wind–storage collaborative optimization model is developed with the objective of maximizing system power generation, and the green power ratio is calculated for different configurations. Then, based on key variables—including renewable energy generation potential, energy storage regulation capacity, wind power fluctuation characteristics, and load fluctuation characteristics—a multiple linear regression model is established to achieve second-level prediction of the green power ratio. Experimental results show that the proposed method achieves a coefficient of determination (R2) of 0.9605 across 621 configuration schemes, meeting engineering accuracy requirements. This approach provides an efficient tool for capacity planning and economic analysis of offshore wind and energy storage direct supply systems.