Distributed Optimal Power Flow Analysis of Partitioned Micro-grid Based Multi-agent

In this paper, a distributed coordination control strategy based on multi-agent technology is proposed for the partitioned micro-grids. By comprehensive considering the power flow calculation and economic scheduling problems, we construct the optimal power flow model. The complex power network is partitioned to achieve the balance among different regions. Meanwhile, the regional control error (ACE) is used to compensate the frequency deviation of different areas. Moreover, the optimal micro-grid power flow problem is solved by optimizing the hierarchical scheduling with two-level agents, i.e. bus agent and regional agent. The optimal power flow distribution of micro-grid is derived to achieve the objective of safety, stability, and economy optimal operation. Finally, it is shown via experimental results that the multi-agent technology can effectively analyze the optimal power flow of the micro-grid and the proposed distributed method can protect the internal information security of each regional power grid and cope with the problem of excessive communication in the centralized optimization.