Distributed Inter-Area Oscillation Damping Control via Dynamic Average Consensus Algorithm

Massive deployment of distributed energy resources (DER) through zero-inertia power electronic converters has made the power grid vulnerable to frequency instabilities and in particular inter-area oscillations. Low-frequency oscillations are of major concerns as they have the potential to limit maximum power transfer, and even cause blackouts. This paper presents a novel distributed control algorithm called distributed frequency deviation control (DFDC) based on local frequency deviation from the estimate of the average frequency of the network. The efficacy of the control unit is demonstrated via modal analyses and time-domain simulations. The results show that all the inter-area oscillation modes are damped for all the test cases without affecting the other dynamic modes of the system.