考虑储能与多类型制氢装置协同的虚拟电厂优化调度OA

To address the challenges posed by the volatility of wind and solar power output on virtual power plant scheduling and renewable energy consumption,a coordinated optimization scheduling method for energy storage and multi-type power-to-hydrogen(P2H)facilities is proposed.Firstly,the output of wind and solar power is decomposed into low-,medium-,and high-frequency components using empirical mode decom-position,which are then matched with the respective charac-teristics of alkaline electrolyzer,proton exchange membrane electrolyzer,and energy storage systems to achieve frequency-division and collaborative consumption of renewable energy.Secondly,an optimization model is constructed to minimize the configuration and operation costs,considering such constraints as electrolyzing powers,state-of-charge of energy storage devices,and power balances.Finally,a three-stage algorithm is designed to determine the optimal scheduling scheme.Simul-ation results demonstrate that,compared to the collaborative dispatch strategy utilizing a single-type electrolyzer or the strategy combining energy storage with a single-type electrolyzer,the proposed method reduces the curtailment rate to 0.14%,significantly enhancing the consumption efficiency of renewable energy and improving system economics.