Combined Economic Dispatch Solution Using African Vulture Optimization Algorithm

The combined economic dispatch (CED) prob-lem is a biggest issue in the optimization of power systems. Hence it involves the distribution of generation output among multiple power plants while minimizing the overall cost of generation. One approach to solving this problem is the use of optimization algorithms. In recent years, the African Vulture Optimization Algorithm (AVOA) has emerged as a capable method for solving difficult optimization problems. In this study, we propose a solution to the CED problem using the AVOA. We implement the AVOA algorithm in MATLAB to optimize the generation outputs of power plants. The AVOA algorithm mimics the foraging behavior of African vultures, which enables it to find optimal solutions efficiently. The proposed solution considers various limitations such as generation capacity, transmission bounds, and slope rate restrictions We assess the working nature of the planned solution using simulation in MATLAB. The simulation results demonstrate that the AVOA-based CED solution provides a significant improvement over traditional approaches in terms of cost reduction and system stability. Our proposed method reduces the overall cost of generation, minimizes the sys-tem loss, and ensures the optimal utilization of resources. Overall, our study highlights the efficiency of the AVOA algorithm for resolving the CED difficulties. The pro-posed solution has practical applications in power system optimization and can contribute to the development of sustainable and efficient energy systems.