Stochastic Consensus-Based Control of μGs With Communication Delays and Noises

We propose a novel stochastic consensus-based secondary voltage and frequency restoration scheme with communication delays and noises for islanded microgrids (mu Gs). Existing distributed methods commonly design restoration layer with the assumption of ideal communication among distributed generations (DGs). Albeit, the communication channels are exposed to delay and noise, whereas any DG receives delayed and noisy measurements fromits neighbors due to peripheral noises and communication delays. Delay and noise have a great impact on the control of mu G, which terribly reduce the stability and quality of it. To eliminate the adverse effects of delays and noises, we propose a novel consensus protocols that consider effects of the communication noises and delays simultaneously for complete plant dynamics, and study mean square consensus for frequency and voltage restoration of mu Gs, whereas providing stringent real power sharing. To this end, we derive the mean square consensus restoration proof using rigorous Lyapunov analysis. As a result the suggested method decreases the sensitivity of the system to failures and increases its reliability. Finally, we have done several simulation scenarios in MATLAB/Sim Power Systems Toolbox to verify the proposed strategy performance.