An improved gravitational search algorithm for distributed generation optimization
Zeng Yuan, Guochu Chen · Journal of Physics Conference Series · 2021
Abstract In order to optimize allocation and sizing of distributed generation, this paper puts forward an improved gravitational search algorithm based on particle swarm optimization. For the sake of preventing the gravitational search algorithm from falling into local optimum, mutation is added to the formula of position, and only Kbest particles are searched. The objective function to be optimized is the minimization of the power losses, and the IEEE-33 bus system is adopted to test the efficiency of the improved algorithm. The results indicate that the improved gravitational search algorithm has better convergence accuracy than the basic gravitational search algorithm, and that the voltage of the system can be improved.