SFLA-based Optimization of ED in Power Systems with Integrated Electric Vehicle Charging Stations

Economic Dispatch (ED) is an optimization problem in power systems, aimed at efficiently allocating generation resources to minimize overall costs. Achieving an efficient ED solution is crucial for power networks as it enhances the stability and sustainability of the electricity grid. In this paper, we present the Shuffled Frog Leaping Algorithm (SFLA) for solving the ED problem. The proposed method is applied to a test case involving 6 generators and 48 transmission lines, with further enhancements introduced by incorporating variable load demand and an Electric Vehicle (EV) charging station to better reflect modern power systems. The data sets used include real-world load data from Switzerland and electric vehicle charging demand data from the U.S, providing a realistic framework for testing the algorithm. The results are benchmarked against those obtained from Particle Swarm Optimization (PSO), demonstrating that SFLA outperforms PSO in minimizing generation costs, thus providing a more efficient solution for the ED problem.