Engineering Configuration Optimization of Wind-Solar-Storage Systems Based on Dynamic Programming Model

As the importance of optimizing resource management systems continues to grow, this paper focuses on the economic optimization of integrated systems through advanced computational models. First, we analyzed the economic feasibility of resource management systems without storage solutions, identifying that the configuration of power generation methods and dependence on external grids are key factors influencing economic outcomes. Subsequently, we introduced a dynamic programming model to optimize storage-integrated systems. By adjusting system constraints and solving linear programming projections, we significantly reduced the typical daily cost to 15,658 yuan. The optimization process, including charging and discharging strategies and the State of Charge (SOC) curve, was thoroughly visualized. Furthermore, considering fluctuations in demand and return on investment, a new coordinated configuration scheme was developed to optimize storage and resource acquisition under varying pricing conditions over time. This study highlights the crucial role of advanced optimization algorithms in enhancing the economic efficiency and reliability of future resource management systems, providing essential insights for the sustainable utilization of resources.