National Natural Science Foundation of China(61100159, 61233007, 61503371), National High Technology Research andDevelopment Program of China (863 Program) (2011AA040103), Foundationof Chinese Academy of Sciences (KGCX2-EW-104), the Strategic PriorityResearch Program of the Chinese Academy of Sciences (XDA06021100),and the Cross-disciplinary Collaborative Teams Program for Science, Technology,and Innovation of Chinese Academy of Sciences-Network and SystemTechnologies for Security Monitoring and Information Interaction in SmartGrid, Energy Management System for Micro-smart Grid
The microgrid is a typical cyber-physical microgrid system (CPMS). The physical unconventional distributed generators (DGs) are intermittent and inverter-interfaced which makes them very different to control. The cyber components, such as the embedded computer and communication network, are equipped with DGs, to process and transmit the necessary information for the controllers. In order to ensure system-wide observability, controllability and stabilization for the microgrid, the cyber and physical component need to be integrated. For the physical component of CPMS, the droop-control method is popular as it can be applied in both modes of operation to improve the grid transient performance. Traditional droop control methods have the drawback of the inherent trade-off between power sharing and voltage and frequency regulation. In this paper, the global information (such as the average voltage and the output active power of the microgrid and so on) are acquired distributedly based on multi-agent system (MAS). Based on the global information from cyber components of CPMS, automatic generation control (AGC) and automatic voltage control (AVC) are proposed to deal with the drawback of traditional droop control. Simulation studies in PSCAD demonstrate the effectiveness of the proposed control methods.