Litcius/Paper detail

Oscillation Damping of Integrated Transmission and Distribution Power Grid With Renewables Based on Novel Measurement-Based Optimal Controller

Olalekan Ogundairo, Sukumar Kamalasadan, Anuprabha Ravindran Nair, Michael Smith

2022IEEE Transactions on Industry Applications16 citationsDOI

Abstract

Renewable energy resources are gaining fast adoption in the power grid because of their relatively low cost and offered environmental benefits. However, the grid will experience decreased inertia as a result of these added resources. Numerous research studies have focused on improving the grid damping, including the lack of inertia, due to renewable resource integration. In this article, we present an adaptive damping controller to help mitigate oscillations during disturbances on the grid, caused by fault occurrences, sudden load changes, capacitor switching, or even the intermittent nature of the energy sources for most renewable systems, considering both integrated transmission and distribution systems. The test system is developed based on Kundur’s two-area system as the transmission system and the IEEE 123-bus system as the distribution system. Then, the novel proposed adaptive optimal damping control architecture is validated via simulation-based test cases conducted in MATLAB/Simulink using real-life grid data. It is observed that the proposed control architecture not only damps the oscillations more than 10% as compared with the state-of-the-art methods but can also control multiple generators.

Topics & Concepts

Renewable energyControl theory (sociology)Controller (irrigation)Oscillation (cell signaling)Electric power systemGridElectric power transmissionPower transmissionPower gridTransmission (telecommunications)Power (physics)EngineeringElectrical engineeringElectronic engineeringComputer sciencePhysicsControl (management)MathematicsBiologyGeometryQuantum mechanicsAgronomyGeneticsArtificial intelligenceMicrogrid Control and OptimizationPower System Optimization and StabilityOptimal Power Flow Distribution