Abstract
This chapter suggests a novel intelligent distributed model predictive control (iDMPC) scheme for load frequency control of a multimicrogrid (MMG) system. The investigated MMG system comprises of two microgrids (MGs) interconnected via a tie-line. Each MG has a locally installed iMPC scheme that allows for the interchange of prediction and optimization-related information. Tuning parameter (ξp) in the cost function of the iMPC is optimized by an intelligent optimization algorithm. In addition, each MG integrates a lumped electric vehicle model to investigate its impact on the dynamic response of the system. Superiority of the proposed iDMPC scheme is confirmed over the centralized MPC and decentralized PID control schemes, whereby it is established that the frequency and tie-line power oscillations are promptly damped out and the transient specifications are enhanced. Additionally, the suggested iDMPC scheme's robustness is validated in light of the MMG parametric uncertainties.
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