Abstract
—Using hydrogen production as energy storage can realize large-scale storage and transportation of energy, which is conducive to flexible scheduling of offshore wind power resources. However, compared with the battery energy storage system, the energy management strategy (EMS) of the dual-storage offshore wind power system with hydrogen production is more complex and nonlinear due to the large number of state variables and control variables. In order to realize the EMS of the system to maximize the benefits and minimize the aging cost, a nonlinear convex model is first established, and then an iterative solution method combining convex programming (CP) and dynamic programming (DP) is proposed. Among them, CP solves the global optimization problem of power distribution, and DP determines the start and stop of the electrolyzer. Finally, the feasibility of the proposed method is verified by simulation analysis.
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