At present, the industrial park has problems such as complex and unbalanced electricity consumption and low utilization rate of electricity resources. When the load is peak, the power supply of the electrical equipment is insufficient, which seriously affects the production quality of the park. In order to solve the problems of peak-to-valley difference and insufficient power resources, this paper proposes a power resource allocation method based on edge computing. This method adjusts the power scheduling by the power consumption duration of the flexible load, establishes the power resource allocation model, and solves it with the improved particle swarm algorithm (I-PSO), that is, the roulette algorithm is introduced into the particle swarm algorithm. Through simulation verification, it is concluded that the industrial park based on edge computing has higher utilization of power resources, reduces electricity consumption cost, and achieves the goals of efficiency reallocation power resources, reducing carbon emissions.