Abstract
Data-loss from wide-area measurement systems (WAMS) is a stochastic event and eigenvalues of power systems containing data-loss cannot be calculated directly. This paper proposes a unified model of WAMS data containing time-delay and data-loss according to its mathematical expectation. Based on Pade approximation, the model is incorporated into a system linearized model with WAMS. Thus, an eigen-analysis can be conducted to analyze the impacts of data corruption and to calculate the system stability time-delay margin. Then, the unified model is applied to damping torque analysis (DTA) to derive the damping torque index (DTI) with WAMS. The DTI can be used to select feedback signals and conduct the parameter design of a wide-area damping controller (WADC). Finally, the 2-area 4-machine (2A4M) Kundur system and Eastern China power grid (ECPG) are simulated to validate the feasibility of the model and its application. The results demonstrate the impacts of data corruption on system dynamic performance and the ability of the method to improve the small-signal stability of interconnected power grids.
Highlights
As large-scale and inter-connected power grids are developing rapidly, inter-area oscillations have posed a great threat to power transmission and system operation [1,2,3]
Investigations on the data corruption effect in power systems have mainly focused on two issues: mechanism analysis and controller design to compensate for the negative impacts brought about by time-delay and data-loss
The investigation the control impact methods brought of about by data-loss and design to current eliminate the negativemainly impact focused based ononsome the nonlinear system, controller design to eliminate the negative impact based on some control methods of the nonlinear for example, the Lyapunov-based controller which has a better robustness and effect
Summary
As large-scale and inter-connected power grids are developing rapidly, inter-area oscillations have posed a great threat to power transmission and system operation [1,2,3]. If models of eigenvalue calculation and the damping torque index (DTI) that consider both time-delay and data-loss can be obtained, they will be helpful in wide-area damping analysis and controller design. This paper proposes a unified mathematical model of WAMS data containing time-delay and data-loss and applies it to eigen-analysis and damping torque analysis (DTA) to investigate their impacts on small-signal dynamic performance and controller design. By applying the model to the linearized equations, the eigenvalue calculation model containing time-delay and data-loss is derived. This model can analyze the impact of data corruption on system dynamic performance and calculate the system stability time-delay margin.
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