Abstract
Microgrid with hydrogen storage is an effective way to integrate renewable energy and reduce carbon emissions. This paper proposes an optimal operation method for a microgrid with hydrogen storage. The electrolyzer efficiency characteristic model is established based on the linear interpolation method. The optimal operation model of microgrid is incorporated with the electrolyzer efficiency characteristic model. The sequential decision-making problem of the optimal operation of microgrid is solved by a deep deterministic policy gradient algorithm. Simulation results show that the proposed method can reduce about 5% of the operation cost of the microgrid compared with traditional algorithms and has a certain generalization capability.
Highlights
For microgrid systems with high renewable energy integration, hydrogen energy can be used as a longterm energy storage to improve the utilization of renewable energy and reduce carbon emissions
The electrolyzer efficiency characteristics model is incorporated into the optimal operation model; The deep deterministic policy gradient (DDPG) algorithm is adopted to solve the optimal operation model, which has a continuous action space
The hydrogen storage system consisted of an electrolyzer, a hydrogen storage tank, and a solid oxide fuel cell (SOFC)
Summary
Renewable energy, such as wind and solar energy, is essential for the energy decarbonization [1]. To address the economic dispatch problem in microgrids containing hydrogen storage, a mixed integer nonlinear dispatch model for a microgrid with 100% renewable energy generation is proposed in [5], and the GAMS solver is used to optimize the operation strategy of hydrogen storage and improve the economic efficiency of the microgrid in the day-ahead market. In [12], the particle swarm algorithm is used to solve the multi-objective energy management problem of renewable energy microgrid containing electric-hydrogen hybrid energy storage to improve the system efficiency. In [20], a microgrid scheduling model is proposed and deep reinforcement learning algorithms is adopted to reduce the power purchase cost. This literature fail to consider the impact of hydrogen energy storage system on the microgrid operation. The electrolyzer efficiency characteristics model is incorporated into the optimal operation model; The DDPG algorithm is adopted to solve the optimal operation model, which has a continuous action space
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