Agent-Based Decentralized Control Method for Islanded Microgrids

In this paper, an agent-based decentralized control model for islanded microgrids (MGs) is proposed, which consists of a two-layer control structure. The bottom layer is the electrical distribution MG, while the top layer is the communication network composed of agents. An agent is regarded as a local control processor together with communication devices, so agents can collect present states of distributed generators (DGs) and loads when communication lines are added between two layers. Moreover, each agent can also exchange information with its neighboring agents of the network. After information is processed according to control laws, agents adjust the production of DGs to which they connect. Further, a systematic method is presented, which can be used to derive a set of control laws for agents from any given communication network, after the rules to establish the communication network are given. Furthermore, it has been seen that the output power supplied by DGs satisfies the load demand in the MG when agents use the proposed control laws. Finally, the simulation results show that frequency and voltage fluctuations are small and meet the requirements.