Research on New Energy Grid Integration Planning and Economic Dispatch Based on HS and PSO

With the rapid development of computer technology, various fields are using this technology to improve production efficiency, and the field of new energy grid integration planning and scheduling is also using computer technology. However, there are still problems of low utilization rate and poor economic benefits in the planning and economic dispatch models of new energy grid connection. In order to solve this problem, the particle swarm optimization algorithm is studied to optimize the acoustic search algorithm, and a new energy grid connection planning and economic dispatch model is established based on this optimization algorithm. Experiments were conducted on the improved algorithm, and the outcomes denoted that the accuracy of the improved algorithm was 0.98. Further experimental analysis was conducted on the new energy grid connection planning and economic dispatch model, and the outcomes denoted that the mean operating cost of the model was reduced by 33.33%, and the utilization rate of various new energy sources reached over 80%. The above results indicate that the optimization algorithm proposed in the study can not only improve the utilization rate of new energy, but also reduce the cost of the model. This study provides a scientific basis for promoting the use of new energy.