A smart grid is the advanced power grid, and electricity demand is managed and controlled by it. The electricity demand is increased during the peak hours of the day. Thus, to fulfill the electricity demand either generate the extra electricity in the peak hours that increase the cost or reduce the load in the peak hours. The load during peak hours is reduced by adopting a demand-side management technique. These techniques reduce the generation cost, and the performance of the smart grid is improved. This paper provides proposed a new/latest approach known as a hybrid of BAT, and Firefly optimization is used to control the switching time of devices so that the overall load can be minimized. The experimental results are performed for different devices (3 and 5). The simulation results show that the proposed algorithm reduces the cost as compared to the original cost. In the last, we have compared the performance of the proposed algorithm over the existing Particle Swarm Optimization (PSO) algorithm and found that 47.02% and 36.48% cost reduction for 3 and 5 devices, respectively.