Two-Layer Optimal Planning for Hybrid Electricity-Hydrogen Energy Storage of Integrated Energy System Considering the Extreme Weather Scenario

Le résumé fourni par la source

The extreme weather with continuous low output of renewable energy such as photovoltaic (PV) raises the pressure on long-term supply-demand balance of integrated energy system (IES). This paper proposes a two-layer optimal planning method for hybrid electricity-hydrogen energy storage of IES considering the extreme weather scenario. Firstly, the electricity and hydrogen energy storage equipment models are established by taking into account various energy storage forms and operation cycles. Secondly, the hybrid electricity-hydrogen energy storage planning framework considering extreme weather and aims at economic optimization is proposed. Then the enhanced particle swarm optimization algorithm (PSOA) is utilized for solving the typical weeks of normal and extreme weather scenarios with the goal of achieving optimal system economy. Results indicate that the proposed approach may lessen the impact of PV continuous low output harsh weather on the system's dependable operation, hence improving its economy.

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