Transient Stability Improvement by Generator Tripping and Real-Time Instability Prediction Based on Local Measurements

Abstract

Special protection systems based on generator tripping are implemented to protect power systems against the loss of synchronism following extreme contingency events. Such countermeasure is particularly effective when the circuit breakers of the tripped generators are opened soon after the fault is cleared. This paper presents a new method that enables quick real-time predictions of transient instability and the number of generators that must be tripped. The proposed method uses local measurements only and is based on quick prediction of the magnitude of the power-angle characteristic. The proposed method has been validated by simulation tests performed for a large-scale real power system and detailed models of power system elements. INDEX TERMS power system transient stability, real-time instability prediction, generator tripping, special protection scheme

Frequency Nadir Estimation Using the Linear Characteristics of Frequency Control in Power Systems

“…When these lines trip, the generators located in the Yeongdong region accelerate, which results in transient stability problems. The SPS for generator tripping is employed to address this [33,34]. However, even if transient stability is achieved through generators tripping, extensive generator tripping can result in supply and demand imbalances, resulting in frequency-stability problems.…”

Robust Transient Stability Emergency Control Considering Wind Power Uncertainties

“…Since the inertia of the power system decreases with the high penetration of power electronic devices, the transient process develops extremely rapidly in severe faults. The closed-loop-based control is too slow to eliminate transient instability after a serve disturbance [31]. As a result, the open loop control based on the SPS system, shown in Figure 1, is adopted [10].…”

Synchrophasor-Based Online Transient Stability Assessment Using Regression Models

“…Meanwhile, in the hybrid model, a data-driven method is used to provide fast error correction in analytical models, allowing for quick and accurate post-disturbance transient stability assessment. In [29], a new method is presented for predicting transient instability and the number of generators that must be tripped to keep the remaining generators synchronized in real time using local measurements. The method allows the strength of the power angle characteristic to be assessed immediately following fault clearance for both regular and extreme contingency situations using merely the locally measurable data available in the considered substation.…”