Abstract:

Considering the impact of long-term uncertainty of supply and load on the robustness of the planning results of an electricity-hydrogen integrated energy storage station, a capacity planning method considering the uncertainty of multiple time scales is proposed. First, the structure of the hybrid electricity-hydrogen system is constructed, and the main operating modes of the energy storage station are designed. Second, taking into account the temporal correlation of wind, photovoltaic, electricity and hydrogen, the typical temporal scenarios of both source and load sides considering short-term uncertainty are extracted. Also, the capacity planning model of the energy storage station based on multi-scenario stochastic optimization is established to minimize the comprehensive annual cost. Then, further considering the long-term uncertainty, the planning model is improved based on the information gap decision theory. A stochastic robust hybrid planning method for energy storage stations is proposed considering long- and short-term uncertainties. Finally, the simulation is performed based on historical data of wind and photovoltaic power stations. Sensitivity analyses of critical factors, such as the energy shortage penalty cost coefficient and hydrogen price, are performed. The simulation results demonstrate that the proposed method can plan reasonably the capacity of the electric-hydrogen integrated energy storage station and improve the risk aversion ability of the hybrid electric-hydrogen system.

Key words: electric-hydrogen integrated energy storage station, capacity planning, multi-timescale, uncertainty, stochastic-robust mixed planning