National Natural Science Foundation of China (NSFC) (61100159, 61233007), the National High Technology Research and Development Program of China (863 Program: 2011AA040103), the Foundation of Chinese Academy of Sciences under contract (KGCX2-EW-104), the financial support of the Strategic Priority Research Program of the Chinese Academy of Sciences under contract XDA06021100, the Cross-disciplinary Collaborative Teams Program for Science, Technology and Innovation, of Chinese Academy of Sciences-Network and system technologies for security monitoring and information interaction in smart grid, Energy management system for micro-smart grid.
Microgrids (MGs) are presented as a cornerstone of smart grid, which can integrate renewable energy sources environmentally, friendly, and reliably. Hierarchical control strategies, i.e. primary droop control, second automatic generation control (AGC), and tertiary economic dispatch (ED), are widely used to control and optimise an MG. However, the gap between large time-scale ED and small time-scale AGC may decrease the economical efficiency of an MG. To address this problem, this study proposes a distributed economic AGC (EAGC) algorithm. The algorithm is fully distributed, as each distributed generator is assigned with an agent and the agents only require the local measurements and communication with its neighbours. Compared with centralised algorithms, the distributed control algorithm is easy to fulfil the plug-and-play requirements and reduces costs to modify the architecture of an MG. Furthermore, the proposed EAGC algorithm is suitable for all possible operation modes of an MG, i.e. islanded mode, grid-connected mode, and transition mode. To improve the robustness against agent loss or communication link fault, the topology of agents' communication network is designed to satisfy the N - 1 rule. The effectiveness of the proposed algorithm is demonstrated through the simulation tests which involve plenty of case studies.
Li ZW,Zang CZ,Zeng P,et al. Agent-based distributed and economic automatic generation control for droop-controlled AC microgrids[J]. IET Generation, Transmission and Distribution,2016,10(14):3622-3630.