Optimized Configuration Method for Intelligent Terminals Based on Improved Bat Optimization Algorithm

To efficiently manage the dispatch of renewable energy and alleviate frequency regulation pressure within distribution systems, this paper introduces an optimized configuration scheme for intelligent terminal equipment that monitors distributed energy. Considering factors such as communication reliability, variations in distributed resources, equipment investment costs, communication costs, human maintenance costs, and unexpected failure costs, a terminal configuration model is formulated to encompass all renewable resources within the monitoring framework. Additionally, an improved bat algorithm based on the principles of the adaptive differential evolution Algorithm is proposed to meet the optimization requirements of the model. The effectiveness of both the model and the algorithm is validated through case studies, demonstrating the algorithm's superiority through comparative analyses of various scale examples and algorithms.