Shared electric-hydrogen hybrid energy storage is a key technology for enhancing the multi-energy complementarity capability and renewable energy consumption level of integrated energy microgrid clusters.To address the issues of low capacity utilization and low equipment utilization rates in electric-hydrogen hybrid energy storage，a bi-level programming model that collaboratively optimizes capacity allocation and multi-device dynamic pricing is constructed.The upper level aims to maximize the profit of the electric-hydrogen hybrid energy storage operator，optimizing the capacity allocation of electrical energy storage，electrolyzers，hydrogen storage tanks，and fuel cells，along with their differentiated dynamic service prices.The lower level aims to minimize the operational cost of the integrated energy microgrid clusters，formulating coordinated operation strategies for electricity，heat，and hydrogen.The model is solved using a joint optimization method that combines an improved genetic algorithm （featuring adaptive crossover and mutation with an elite retention strategy） and the CPLEX solver，effectively enhancing solution efficiency and stability.Simulation results show that compared to pure hydrogen and pure electrical energy storage modes，the electric-hydrogen hybrid energy storage increases operator profits by 9.23% and 532.73%，respectively，reduces renewable energy curtailment by 22.10% and 61.19%，respectively，and simultaneously significantly decreases the operational cost of the microgrid clusters.The research verifies the effectiveness of electric-hydrogen hybrid energy storage in improving system economics and energy accommodation capability，providing an important reference for the collaborative planning and operation of integrated energy microgrid clusters.