Delay-Aware Risk Analysis and Control in Smart Grid Networks with Corrupted Measurements

A novel framework is presented for design of wide-area-control (WAC) in smart grid power systems. The problem setup regards scenarios where control suffers from noisy measurement and time-lags. We evaluate the risk of phase incoherence in interconnected power machines. We outline the effect of systemic parameters, information flow and disturbances on risk of phase deviations. Our results suggest limitations of delay-aware control in presence of multiple sources of noise. We develop algorithmic network design tools to enhance and, in some cases, optimize coherency and robustness of the closed-loop system.