Dynamic population games for hierarchical microgrid management

Microgrids are presented as a cornerstone in the path to the future implementation of the smart grid. An efficient and optimal microgrid operation is paramount. In this paper, we present a hierarchical microgrid management system using task sharing and an evolutionary game theory based dispatch strategy as a coordination algorithm for optimal economic dispatch of active and reactive power for the microgrid operation. We use power quality criteria to evaluate the system performance. Some simulation results are presented to illustrate the effectiveness of the dynamic performance of the proposed approach.