Microgrid two-tier dispatching protocol

What is a two-stage robust optimization dispatch model?

This was accomplished by proposing a novel two-stage robust optimization dispatch model that consists of an upper-level robust dispatching model for the multi-microgrid system and a lower-level electric vehicle aggregator dispatching model.

Can a multi-layer scheduling strategy improve the microgrid model?

A number of scholars adopt various strategies to optimize the established microgrid model [6, 7, 8]. The multi-layer scheduling strategy is adopted to solve a series of complex issues caused by the large-scale integration of wind and solar power [9, 10].

Can orderly charging and discharging mode reduce the operating cost of microgrid?

Through simulation and comparison, the dispatching cost results of microgrid are obtained under two dispatching modes of electric vehicle disorder and order. It is concluded that the orderly charging and discharging mode guided by electricity prices can effectively reduce the operating cost and environmental protection cost of microgrid.

What is the uncertainty set used in a two-stage robust optimization dispatch model?

In summary, the proposed uncertainty set is employed in a novel two-stage robust optimization dispatch model. The upper robust dispatching model updates the constraints according to the number of real-time EV insertions to obtain the lowest multi-microgrid operating cost under worst-case scenarios.

What is the main task in microgrid operation phase?

Abstract: Dispatching the output of distributed power sources is the main task in the microgrid operation phase.

Can intelligent algorithms solve nonlinear scheduling issues of microgrids?

Thus, intelligent algorithms are now viable options for resolving the nonlinear scheduling issues of microgrids. In this paper, we propose a double-layer optimization strategy based on the multi-point improved gray wolf algorithm (MPIGWO).