It is a promising way to convert the excess renewable energy into hydrogen energy for storage. A two-layer optimization method considering the uncertainty of generation and load is proposed to determine the optimal placement and sizing of the hydrogen energy storage power station (HESS) in the power system with high penetration of renewable energy. The investment cost of the HESS and the operation cost of the power system with HESS are considered in the upper layer of the proposed method. Meanwhile, the Modified Backtracking Search Algorithm (MBSA) is utilized to determine the optimal placement and sizing of HESS in the upper-layer optimization. Based on the strategy formulated by the upper-layer, there is a goal that minimizes the operation cost of the power system with HESS in the lower-layer optimization. The robust optimization method is utilized to solve the optimal scheduling of the lower-layer optimization considering the uncertainty of systems. Finally, the simulation experiment in the IEEE 39-node system is performed to verify the effectiveness of the proposed two-layer optimization method. The simulation results show that the two-layer optimization method can effectively solve the optimal placement and sizing of HESS with consideration of uncertainty.
Keywords Optimal placement and sizing, hydrogen energy storage power station, uncertainty, two-layer optimization