Research on Integrated Energy System Planning Based on the Whale Optimization Algorithm

In this paper, a comprehensive energy system planning optimization method based on heuristic algorithm is proposed, which aims to improve the economic efficiency of the system. Firstly, the background and development status of the integrated energy system are analyzed, and the challenges and optimization opportunities of equipment configuration and modeling are discussed. Subsequently, an optimization method based on economic performance was introduced, and the whale optimization algorithm was used for system optimization. Through case analysis, the results show that the proposed method can significantly reduce the operating cost of the system. Under the initial population size of 120 iterations, the whale optimization algorithm converged around the 44th generation, and the final solution obtained was ${\$}$6,218,367.29. The results obtained by the genetic algorithm are $1.90 \%$ higher than those obtained using the whale optimization algorithm. Therefore, the algorithm used in this paper shows strong global search ability and improves the optimization accuracy.