Optimal scheduling of microgrids based on improved rat swarm algorithm
In order to avoid the traditional rat swarm optimization(RSO)algorithm from converging slowly and falling into local optimum,we propose a rat swarm optimization algorithm(HRSO)that integrating Circle chaos mapping and vertical and horizontal crossover strategies.The HRSO is applied to a microgrid optimal dispatching model with the objective of minimizing the total generation cost as considering security and stability.The results show that HRSO improves the stability by 12.45%and the convergence speed by 28.17%compared with RSO under four test functions,at the same time the total generation cost of microgrid is reduced by about 8.43%,in the microgrid optimal dispatch model.
NETL
NSTL
万方数据
