Abstract: Abstract: The traditional energy supply mode is difficult to cover the energy islands in the plateau and cold regions， and the multi-energy mobile power vehicle has become a better solution because of its flexible mobility and strong environmental adaptability. The existing multi-energy mobile power vehicles still lack application research for the unique background of plateau and cold， existing multi-energy allocation algorithms have some problems such as slow convergence speed and easy to fall into local optimality. A multi-energy configuration algorithm is proposed on the basis of the improved universal gravitational search algorithm in this work. In order to decrease the annual economic cost of multi-energy mobile power vehicles， the particle swarm optimization algorithm is introduced in this modified algorithm on the basis of the universal gravitational algorithm. Meanwhile， the individual historical optimal and global optimal position assignment values are introduced for particle swarm velocity iteration calculation， thus improving the speed and directionality of particle swarm convergence. The superiority of the algorithm in convergence speed and global search capability is verified by practical application cases in the Somewhere region of Tibet. The results show that the multi-energy configuration strategy of mobile power vehicles designed based on the proposed algorithm has better economy and can provide a design basis for the optimal configuration of multi-energy mobile power vehicles in highland alpine areas.

Key words: Key words: multi-energy mobile power vehicles, improved gravitational search algorithm, highland alpine areas, optimal configuration