The rapid increase of highway tunnel mileage also marks the gradual rise of operation cost, and the problem of high electricity operation cost of highway tunnel needs to be solved urgently. In order to reduce the electricity operation cost of highway tunnel and achieve energy saving and emission reduction. Under the “dual carbon” background, from the perspective of optimizing energy structure, explore the application prospect of renewable energy supply system in highway tunnel, and establish a wind, light, storage complementary power generation system. Taking a 498m long highway tunnel load as an example, using the improved particle swarm optimization (PSO) algorithm, with the lowest equipment construction cost and maintenance cost of the whole life cycle as the goal, with the power shortage load rate and energy storage capacity as the constraints, the wind-light-storage complementary system is optimized. The results show that: 1. The improved discrete adaptive particle swarm algorithm obtained the optimal solution after the 20th iteration, and the standard particle swarm algorithm obtained the optimal solution after nearly the 300th iteration. The discrete adaptive particle swarm algorithm has stronger optimization ability; 2. Compared with the standard particle swarm algorithm, the improved discrete adaptive particle swarm algorithm reduced the equipment investment and use cost of wind, light and storage by 578,300 yuan, about 17.37%. 3. Compared with the annual electricity cost of 515,000 yuan for the example tunnel, _________________