Transient stability margin assessment for large power system using time domain simulation based hybrid extended equal area criterion method

2000 ◽  
Author(s):  
K.W. Chan
Keyword(s):  
Power System ◽  
Time Domain ◽  
Transient Stability ◽  
Stability Margin ◽  
Time Domain Simulation ◽  
Margin Assessment ◽  
Large Power ◽  
Equal Area ◽  
Simulation Based ◽  
Criterion Method

Transient Stability Analysis of Power System Based on Time Domain Simulation

2012 ◽  
Vol 263-266 ◽  
pp. 781-785 ◽  
Author(s):  
Liang Pi ◽  
Chen Wang ◽  
Wei Zheng
Keyword(s):  
Power System ◽  
Single Machine ◽  
Time Domain ◽  
Transient Stability ◽  
Simulation Models ◽  
Time Domain Simulation ◽  
Power System Stabilizers ◽  
Machine System ◽  
Single Machine Infinite Bus ◽  
Bus System

Single-machine infinite-bus system and two-machine system simulation models were built to study the power system transient stability. Based on time domain simulation, the effect of generator inertia time constant (τg), and excitation system ceiling voltage (Ke) on transient stability were analyzed by single-machine infinite-bus system. The changes of transient stability of two-machine system were also compared by means of power system stabilizers (PSS) and static VAR compensator (SVC). In particular, the system transient stability varied greatly in different locations of SVC. Finally, some suggestions concerning the improvement of power system transient stability were put forward.

scholarly journals MOSAIK and FMI-Based Co-Simulation Applied to Transient Stability Analysis of Grid-Forming Converter Modulated Wind Power Plants

2021 ◽  
Vol 11 (5) ◽  
pp. 2410
Author(s):  
Nakisa Farrokhseresht ◽  
Arjen A. van der Meer ◽  
José Rueda Torres ◽  
Mart A. M. M. van der Meijden
Keyword(s):  
Power System ◽  
Time Domain ◽  
Power Plants ◽  
Transient Stability ◽  
Renewable Energy Sources ◽  
Critical Factor ◽  
Primary Control ◽  
Simulation Approach ◽  
Wide Range ◽  
Grid Side

The grid integration of renewable energy sources interfaced through power electronic converters is undergoing a significant acceleration to meet environmental and political targets. The rapid deployment of converters brings new challenges in ensuring robustness, transient stability, among others. In order to enhance transient stability, transmission system operators established network grid code requirements for converter-based generators to support the primary control task during faults. A critical factor in terms of implementing grid codes is the control strategy of the grid-side converters. Grid-forming converters are a promising solution which could perform properly in a weak-grid condition as well as in an islanded operation. In order to ensure grid code compliance, a wide range of transient stability studies is required. Time-domain simulations are common practice for that purpose. However, performing traditional monolithic time domain simulations (single solver, single domain) on a converter-dominated power system is a very complex and computationally intensive task. In this paper, a co-simulation approach using the mosaik framework is applied on a power system with grid-forming converters. A validation workflow is proposed to verify the co-simulation framework. The results of comprehensive simulation studies show a proof of concept for the applicability of this co-simulation approach to evaluate the transient stability of a dominant grid-forming converter-based power system.

scholarly journals Power System Transient Stability Assessment Based on Snapshot Ensemble LSTM Network

2021 ◽  
Vol 13 (12) ◽  
pp. 6953
Author(s):  
Yixing Du ◽  
Zhijian Hu
Keyword(s):  
Power Systems ◽  
Power System ◽  
Transient Stability ◽  
Short Term Memory ◽  
Risk Function ◽  
Stability Margin ◽  
Risk Level ◽  
Stability Assessment ◽  
Lstm Network ◽  
Hierarchical Assessment

Data-driven methods using synchrophasor measurements have a broad application prospect in Transient Stability Assessment (TSA). Most previous studies only focused on predicting whether the power system is stable or not after disturbance, which lacked a quantitative analysis of the risk of transient stability. Therefore, this paper proposes a two-stage power system TSA method based on snapshot ensemble long short-term memory (LSTM) network. This method can efficiently build an ensemble model through a single training process, and employ the disturbed trajectory measurements as the inputs, which can realize rapid end-to-end TSA. In the first stage, dynamic hierarchical assessment is carried out through the classifier, so as to screen out credible samples step by step. In the second stage, the regressor is used to predict the transient stability margin of the credible stable samples and the undetermined samples, and combined with the built risk function to realize the risk quantification of transient angle stability. Furthermore, by modifying the loss function of the model, it effectively overcomes sample imbalance and overlapping. The simulation results show that the proposed method can not only accurately predict binary information representing transient stability status of samples, but also reasonably reflect the transient safety risk level of power systems, providing reliable reference for the subsequent control.

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