Optimization of Local Energy Internet Based on a Multi-objective Linear Weighted Sum Salp Swarm Algorithm

Based on the Energy Internet system model, this paper establishes different types of independent energy hub optimization models, and uses the Salp Swarm Intelligent Optimization Algorithm to solve this type of model. In this paper, the traditional Intelligent Optimization Algorithm for Salp Swarm population is improved, and this paper proposes a novel multi-objective linear weighted sum Salp Swarm algorithm for solving the optimization problem. The new algorithm have the advantages of fast speed and high accuracy in solving energy management problems.