Panama’s generation system has an important renewable energy component, similar to what happens in other Central American countries. There is a significant renewable energy storage capacity in reservoirs that allow planning strategies to mitigate costs between seasons. The decisions taken today affect situations in the future in this kind of problem. Scheduling of the hydro reservoirs use is necessary because it can save costs in the future. One way to implement this scheduling is by pricing the hydro resource over time. The dual approach to this problem offers the possibility of addressing it from the shadow prices point of view. To solve these problems, they must be broken down into sub-problems that are interrelated. The strategy of solving complex optimization problems by broken in sequential sub-problems is dynamic programming. This paper focuses on the problem of optimizing the use of resources applicable to the Panamanian system, which apply Dynamic Programming and Dual approach of Linear Programming.