Generation Rejection Scheme Based-on a Combinational Rotor Angle Trajectory Prediction

Abstract

This paper presents a response-based generating rejection scheme (GRS) based on an angular stability prediction logic to initiate the outage of accelerated generating units while saving the rest of generating units from the loss of synchronism. First trigonometric, polynomial, and hybrid models of rotor angle trajectory based on the reasonable assumptions are proofed. Then, by taking these models in the prediction step, through the maximum use of measured data based on defining the forecast horizon (FH) and data window with incremental length, the stability/instability of generating units is separately predicted. Next, the status of tripping signal based on a combinational logic of the output results of the angular stability prediction method is specified. In the developed logic, if at least two models of the three designated models yield the same response about the unit stability status, the trip signal is accordingly fired or blocked. The proposed method is examined on the one machine infinite bus and the WSCC standard test bed under different operation and fault scenarios. The obtained results demonstrate that beside simplicity, low computational burden, and very short processing time, the proposed combinatorial method outperforms the existing ones working with individual prediction models.

Data-Driven Approach for Generator Rejection Prediction to Prevent Transient Instability in Power System Using Wide-Area Measurements

“…Note that the full dynamic model of the power system is considered. As shown in Figure 3, a repetitive algorithm is employed to find the minimum amount of generator shedding considering (14). Then, among the considered RCA cases, the RCA with the highest stability margin is selected as the optimal RCA for each unstable scenario.…”

“…RCAs are a set of corrective actions taken when emer-36 gency conditions are detected to maintain the stability and 37 integrity of the system [4]. Generally, RCAs including 38 controlled islanding [5], [6], [7], [8], load shedding [9], 39 [10], and generator rejection/tripping [11], [12], [13], [14], can be classified into two main groups: event-based and response-based. Event-based methods are designed based on offline simulations [15].…”