Traditional multi-energy flow integrated energy systems often face the dual problems of low installed capacity and low utilization rate of green renewable energy. The gradual popularization of hydrogen fuel vehicles will result in a large demand for hydrogen energy. The conversion of electrical energy into hydrogen energy is considered an effective way to meet potential hydrogen demand. This paper proposes a planning method for a multi-energy flow integrated energy system that considers wind and solar utilization and containing hydrogen energy flow. First, for the hydrogen energy flow, an electric/heating/cold/hydrogen integrated energy system is constructed. Secondly, considering the multi-objectives of the system annual investment cost, operating cost and wind and solar utilization rate, this paper constructs a two-level planning-scheduling model. This model takes the energy balance and component operating characteristics of the four forms of electricity/heat/cold/hydrogen as constraints, and uses a non-dominant sequencing hybrid intelligent algorithm combining a genetic algorithm and commercial solver to solve the problem. Finally, it takes an actual industrial park as an example to verify the method proposed. The results show that the method can effectively reduce the total annual investment cost of the system, significantly increase the proportion and utilization of wind and solar installed capacity, and improve the stability and economy of system operation. This work is supported by the National Natural Science Foundation of China (No. 51807114) and the Project of Shanghai Science and Technology Commission (No. 18DZ1203200).