Distributed Finite-Time Controller for Economic Operation of DC Multi-Microgrids

This paper presents a fully distributed finite-time dual-layer control system to guarantee an economic global load power sharing for DC multi-microgrids (MGs). Local and global coordination controllers are developed to handle respectively the optimal operation within a finite settling time for individual MGs and the entire cluster of interconnected MGs by using a dual-layer sparse communication network. In the local control layer, not only the incremental costs (ICs) of all DGs within each MG are equalized to realize optimal load sharing between DGs, but also the local generations and demands are balanced by MG's average voltage restoration using the finite time consensus protocol. Furthermore, the economic power flow among MGs is regulated by the distributed global controllers through fine-tuning of MGs local reference voltages to attain the minimal global total generation cost (TGC). The feasibility of the proposed controller is verified by simulation under various testing scenarios.