Optimization Research on Wind-Solar-Storage Coordination Configuration Based on Activity-Based Costing and Dung Beetle Optimization Algorithm

This study aims to propose an optimization model for the coordinated configuration of wind, solar, and energy storage in microgrids by comprehensively applying Activity-Based Costing (ABC) and the Dung Beetle Optimization (DBO) algorithm. The paper begins with comprehensive data processing of the park microgrid to ensure the accuracy and reliability of the analysis results. Furthermore, the model is iteratively solved using the Dung Beetle Optimization algorithm to achieve the optimal solution for the wind, solar, and energy storage configuration. The research findings indicate that the proposed model can effectively reduce the curtailment of wind and solar power, lower the average supply cost per unit of electricity, and enhance the economic benefits of the microgrid. Additionally, the model's accuracy and applicability are verified through model evaluation and analysis of sensitivity and specificity. This study offers a new perspective and method for energy management and optimization in microgrids.