Microgrid-Distribution Network Bi-layer Economic Optimal Dispatch Considering Source-network-load-storage Collaboration

The uncertainty and volatility of distributed generation (DG) will significantly influence on the grid-connected operation of microgrid, leading to a lack of sufficient utilization of renewable energy. In response to this issue, this article establishes a two-layer collaborative economic optimization scheduling model for microgrid distribution networks that considers grid load storage. The upper layer model takes the highest profit of the distribution network in the context of an open distribution network as the optimization objective, and uses an enhanced adaptive differential evolution algorithm to solve it. At the lower level, the model considers multiple adjustable units. It aims to optimize the total cost of microgrids. Finally, the simulation results indicate that by effectively scheduling controllable resources in the network, microgrids can effectively reduce operating costs and play an important role in "peak shaving". By exchanging electricity with the distribution network, not only does it improve the economic benefits of microgrids and distribution networks, but it also reduces the occurrence of waste renewable energy and improves the utilization capacity of renewable resources.