In recent years,interest in electricity-hydrogen coupled integrated energy system is growing to enhance system resilience. Thispaper proposes a quantitative evaluation method of energy system resilience with high time resolution (hourly level),and constructs abottom-up multi-objective optimization model to plan the park-level electricity-hydrogen coupled integrated energy system,to cope withthe triple dilemma of the energy system (economic-environmental-resilience),and to assess the benefits of the application of electricity-hydrogen coupled technology to integrated energy system. In this paper,the methods and models proposed are applied to the energysystem of an industrial park along the southeast coast of China as a case study,and multi-objective optimization is carried out under fourcarbon emission limitation scenarios according to the disturbance pattern of extreme events on the energy system in order to determinethe optimal solution under each scenario. The results of the case studies indicate that,due to the current high cost of electricity-hydrogencoupled technology applications,electric-hydrogen coupled technology applications are of greater value only when both environmentaland resilience of the energy system are required. With the strengthening of carbon emission constraints,the net present value cost of theeconomics objective function increases from 4.48×10 CHY in the global scenario to 4.74×10 CHY in the strongest carbon emission limitation scenario,which is an increase of 5.80%. The resilience indicator,on the other hand,decreases by 21% from 5061.62 MWh to4184.01 MWh,and the electricity-hydrogen coupling significantly improves the environmental and resilience of the system. The optimalsolution shows that hydrogen storage is not only an effective solution for long-term energy storage across seasons, but its uniqueadvantages in short-term energy storage are also worthy of attention. Finally,comparing the new method of quantitative evaluation ofresilience proposed in this paper with the representative previous method,it can improve the net present value of the optimized solutionby 0.9%,the minimum level of system energy supply by 5.19%,and the system resilience by 12.57%.