Energy Scheduling of Wind-Solar Integrated Hydrogen Production System Based on Wind Solar Power Prediction

Hydrogen production from renewable sources is an efficient way to promote renewable sources consumption. In order to suppress the impact of source uncertainty on system scheduling, and improve the system efficiency, a two-stage energy scheduling strategy consisting of two-stage rolling optimization scheduling for a wind-solar integrated hydrogen production system is proposed. In the day-ahead stage, a day-ahead optimization scheduling model is established with the objectives of system operating cost and hydrogen production revenue based on long-term power forecasting. In the intra-day stage, an intra-day rolling optimization scheduling strategy with a day-ahead cost function and energy storage SOC penalty as the basis is established based on short-term power forecasting. Case study verified that the impact of source uncertainty on system energy scheduling can be suppressed with the proposed scheduling strategy, thereby improving system hydrogen production revenue.