Enhanced Economic Load Dispatch Using a Novel Optimization Approach: A Cost Minimization Perspective

This paper proposes an advanced African Vulture Optimization (AVO) algorithm integrated with Gaussian Process Regression (GPR) for the economic load dispatch (ELD) problem in power systems. The proposed method aims to enhance the ELD's efficiency by minimizing operational costs while maintaining power system constraints. The AVO algorithm optimizes the power generation across various units, and the GPR model is incorporated to improve convergence and accuracy in capturing the cost function's nonlinearity. The IEEE 30-bus system is used as a test case, examining three distinct load demand scenarios to evaluate the algorithm's robustness under varied conditions. Additionally, three different population sizes are applied to investigate the effects on algorithmic performance, specifically focusing on convergence rate and solution quality. Results demonstrate that the AVO-GPR method effectively reduces computational costs while achieving feasible and optimal power dispatch, outperforming traditional methods in terms of both accuracy and computational efficiency. This study contributes to the development of reliable and adaptive optimization techniques in economic load dispatch, supporting the operational efficiency of modern power systems.