Abstract:

The mode of multi-micro-grid connection mainly has single grid connected mode and joint coordinated grid connection mode. The different working state of micro power supply inside the two types of grid connection leads to different generating cost. To reduce the cost of power generation, an optimal scheduling model of multi micro grid energy and an optimal scheduling model for single micro grid were established on the premise of satisfying the constraints of the related micro power supply. Due to the low accuracy and slow convergence rate of the traditional artificial fish swarm algorithm, an improved artificial fish swarm algorithm (SA_AFSA algorithm) based on simulated annealing algorithm was proposed, which overcomes the shortcoming of the traditional fish swarm algorithm. Combined with a specific example, the algorithm is used to solve the economic optimal scheduling problem of single micro-grid and multi-micro-grid, and the cost of power generation under two grid connection modes was compared. The experimental results show that under the premise of only considering the economy, the cost of generation and coordination of multi micro-grid is lower than that of single micro-grid.

Key words: multi-micro-grid, single grid connection, joint coordination and grid connection, optimal scheduling, SA_AFSA algorithm, generation cost