Project Details
NYPA has concerns of potential very low damping oscillations in their system. The interarea oscillation with inadequate damping is one of the major factors leading to power system separation and even blackout, e.g. WECC in 1996. Oscillation damping controllers are usually designed and tuned based on the power system circuit model. The limitations of this approach are errors in the models and unable to reflect constant change in operating conditions.
The increasing deployment of Phasor Measurement Units (PMUs) makes it possible to derive a linear, simple measurement-based transfer function model describing the input and output relationships within a power system. The measurement-driven model can represent power system oscillatory behaviors and can be used for damping control design. The advantage of this approach is that the measurement-driven model doesn't rely on the circuit model of each component and can be updated in real time to reflect the variations in operating conditions. Therefore, the damping controller can be adaptive by updating its parameters online based on the measurement-driven model.
- Task 1: New York State Power System Modal Analysis
Under this task, modal analysis of the system will be performed to identify the system dominant oscillation modes of interest using measurements. Coherency analysis will be also performed to identify coherent areas within the New York state grid that are associated with the dominant oscillation modes. - Task 2: Optimal Observation and Actuation Signal Selection
In this task, the optimal observation and actuation signals for the design of the controller will be selected. The selection of the observation signal indicates the desired location of PMUs that will provide the input signal to the controller. The selected actuator can be a generator or a FACTS device. - Task 3: Adaptive Oscillations Damping Controller Design and Simulation
The transfer function model structure and parameters identification using probing and ring-down data will be investigated. For the design of the controller, different control strategies will be implemented and tested such as lead-lag control or model predictive control (MPC). The adaptive nature of the controller will be shown by demonstrating the update of the system transfer function model and the damping controller’s parameters to reflect variations in operating conditions. - Task 4: Oscillations Damping Controller Hardware-In-the-Loop Implementation and Experiments
Under this task, the oscillations damping controller will be implemented in a hardware-in-the-loop environment. The purpose of this task is to analyze the feasibility of applying the method in on-line operational mode, and investigate the performance of the controller under measurement delays and bad data conditions. The experiments will be conducted on small scale equivalenced model, representative of the New York state power grid.
