Day-ahead optimal scheduling strategy for electrolytic water to hydrogen production in zero-carbon parks type microgrid for optimal utilization of electrolyzer

Under the goal of achieving “carbon peaking and carbon neutrality”, microgrids with hydrogen storage have emerged as a prominent area of development. However, large-scale operation of alkaline electrolytic water hydrogen production units suffers from low efficiency. To address this issue, this paper proposes an optimal scheduling strategy for electrolytic water to hydrogen production in a zero-carbon park type microgrid for optimal utilization of the electrolyzer. Taking into account the economic cost, the interaction rate of the microgrid and the hydrogen demand of the park, a zero-carbon park type microgrid electrolytic water to hydrogen optimization model for the optimal utilization of electrolyzes is constructed. To overcome the challenges of slow convergence speed and local optimality of the traditional algorithm, the Beluga Whale Optimization (BWO) is improved to solve the model. Compared with the PSO algorithm, the BWO algorithm solves the model 10 % faster and has a better optimization finding capability. Finally, the simulation results demonstrate that the daily revenue value of the proposed dispatching strategy is 12.5 % higher than that of the traditional dispatching strategy for microgrids. The impact of the hydrogen selling price and the new energy feed-in tariff on the proposed strategy is also analysed.