This paper deals with the dynamic optimization of continuous processes with batch operations. In particular, a case study of a fluid catalytic cracking unit (FCCU) with CO promoter is considered. The problem is of a hybrid nature, and the key step is to develop an augmented dynamic model that incorporates the quantitative correlation between system performance and batch operations, namely, the amount of added CO promoters. Then, the problem can be formulated as a hybrid dynamic optimization problem in terms of parameters and continuous variables, which solution is improved by different kinds of approximation functions. To account for uncertainty, the open-loop optimal continuous operations are implemented as extra closed-loop proportional integral derivative (PID) controllers to track the necessary conditions of optimality, while optimal batch operations are directly implemented. The result shows that the proposed integration optimization method substantially improves the overall economic performance during preserving safety and maintains near-optimal performance under uncertainty.