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Abstract-This paper adopts a stochastic optimization method for solving the Security-Constrained Optimal Power Flow (SCOPF) problem with the consideration of distributed load variations in the grid. The objective function of the dispatch scheme aims to minimize fuel costs of the grid. Compared with conventional dispatch scheme, the computational complexity of proposed method is significantly increased. Therefore, this research adopts an improved Bacterial Swarm Algorithm (BSA) to solve the optimization. Compared with most Evolutionary Algorithms (EAs), BSA is more effective and has better convergence performance. The simulation studies reports the results obtained using an IEEE 30-bus system with uncertain load. A comparison between the results achieved using the proposed method and those obtained from conventional dispatch is given.