Abstract: Hydropower stations are featured with factors of dynamic uncertainties that are difficult to consider in a traditional deterministic dynamic model. This study analyzes three factors of fuzzy dynamic characteristics, given variable load, and uncertainty maintenance plan, and develops an uncertain dynamic model for optimization of hydropower station operation. This model solves the optimization problem using a spiral-vertical genetic algorithm (SVQA) and it is coded into a computer software module, upgrading the existing system of hydropower station dispatching. Its applications show that it is of has better performances and more effective in iteration and convergence to the final solution of an actual hydropower station dispatching problem than dynamic programming methods.