Real-time assessment of power system transient stability using rate of change of kinetic energy method

2001 ◽  
Vol 148 (6) ◽  
pp. 505 ◽  
Author(s):  
M.A. AI-Taee ◽  
F.J. AI-Azzawi ◽  
A.A. Al-Taee ◽  
T.Z. Al-Jumaily
Keyword(s):  
Kinetic Energy ◽  
Power System ◽  
Real Time ◽  
Energy Method ◽  
Transient Stability ◽  
Rate Of Change ◽  
Time Assessment

Augmentation of transient stability margin based on rapid assessment of rate of change of kinetic energy

2016 ◽  
Vol 140 ◽  
pp. 588-596 ◽  
Author(s):  
Ahmed A. Al-Taee ◽  
Majid A. Al-Taee ◽  
Waleed Al-Nuaimy
Keyword(s):  
Kinetic Energy ◽  
Transient Stability ◽  
Rapid Assessment ◽  
Stability Margin ◽  
Rate Of Change

A novel recursive approach for real-time transient stability assessment based on corrected kinetic energy

2016 ◽  
Vol 48 ◽  
pp. 660-671 ◽  
Author(s):  
Mehdi Zareian Jahromi ◽  
Shahram Montaser Kouhsari
Keyword(s):  
Kinetic Energy ◽  
Real Time ◽  
Transient Stability ◽  
Stability Assessment

scholarly journals Transient Stability Control Based on Kinetic Energy Changes Measured by Synchronized Angular Velocity

Energies ◽  
2021 ◽  
Vol 14 (21) ◽  
pp. 6893
Author(s):  
A. F. Diaz-Alzate ◽  
John E. Candelo-Becerra ◽  
Albert Deluque-Pinto
Keyword(s):  
Kinetic Energy ◽  
Angular Velocity ◽  
Power Systems ◽  
Real Time ◽  
Transient Stability ◽  
Stability Control ◽  
Area Measurement ◽  
Velocity Signal ◽  
Large Power ◽  
Time Operation

Real-time transient stability studies are based on voltage angle measures obtained with phasor measurement units (PMUs). A more precise calculation to address transient stability is obtained when using the rotor angles. However, these values are commonly estimated, which leads to possible errors. In this work, the kinetic energy changes in electric machines are used as a criterion for evaluating and correcting transient stability, and to determine the precise time of insertion of a special protection system (SPS). Data from the PMU of the wide-area measurement system (WAMS) are used to construct the SPS. Furthermore, it is assumed that a microcontroller can be located in each generation unit to obtain the synchronized angular velocity. Based on these measurements, the kinetic energy of the system and the respective control action are performed at the appropriate time. The results show that the proposed SPS effectively corrects the oscillations fast enough during the transient stability event. In addition, the proposed method has the advantage that it does not depend on commonly proposed methods, such as system models, the identification of coherent machine groups, or the structure of the network. Moreover, the synchronized angular velocity signal is used, which is not commonly measured in power systems. Validation of the method is carried out in the New England power system, and the findings show that the method is helpful for real-time operation on large power systems.

scholarly journals Enhancement of Power System Transient Stability by Active and Reactive Power Control of Variable Speed Wind Generators

2020 ◽  
Vol 10 (24) ◽  
pp. 8874
Author(s):  
Masaki Yagami ◽  
Masanori Ichinohe ◽  
Junji Tamura
Keyword(s):  
Kinetic Energy ◽  
Power System ◽  
Power Control ◽  
Wind Farm ◽  
Transient Stability ◽  
Reactive Power ◽  
Renewable Energy Sources ◽  
Variable Speed ◽  
Pv System ◽  
Reactive Power Control

This paper proposes a novel control method for enhancing transient stability by using renewable energy sources (RES). The kinetic energy accumulated in a rotor of variable speed wind generator (VSWG) is proactively used as the active power source, which is controlled according to the frequency measured at the wind farm. In addition, coordinated reactive power control according to the grid voltage is also carried out to more effectively use the kinetic energy of the VSWG. The effects of the proposed control system were evaluated by simulation analyses performed using a modified IEEE nine-bus power system network made up of synchronous generators (SGs), a photovoltaic (PV) system and a VSWG-based wind farm. Furthermore, the coordinated reactive power control between the VSWG and PV system was also demonstrated.

Distributed Virtual Synchronous Generator approach versus Singular Virtual Synchronous Generator approach: A dynamic stability evaluation

2020 ◽  
pp. 0309524X2097546
Author(s):  
Abdul Waheed Kumar ◽  
Mairaj ud din Mufti ◽  
Mubashar Yaqoob Zargar
Keyword(s):  
Power System ◽  
Transient Stability ◽  
Reactive Power ◽  
Magnetic Energy ◽  
Dynamic Performance ◽  
Synchronous Generator ◽  
Rate Of Change ◽  
Clearing Time ◽  
Magnetic Energy Storage ◽  
Virtual Synchronous Generator

This paper reports the modeling and dynamic performance of a wind penetrated multi-area power system incorporating a Singular Virtual Synchronous Generator (SVSG)/Distributed Virtual Synchronous Generator (DVSG). The active and reactive power controls are achieved by using Superconducting Magnetic Energy Storage (SMES) as Virtual Synchronous Generator (VSG). SMES based VSG control parameters are tuned offline using genetic algorithm (GA). Two topologies of VSGs are considered in this paper: SVSG at lowest inertia generator bus (SVSGGENBUS), SVSG at load bus (SVSGLOADBUS) and DVSG of comparatively smaller rating at three lowest inertia generator buses. A modified 18 machine, 70-bus power system is simulated in MATLAB/Simulink environment. System performance is assessed for two different types of disturbances: step wind disturbance and three-phase fault. The simulation results show that rate of change of frequency (ROCOF), deviations in frequency and voltage are minimized with DVSG. Transient stability measured in terms of critical clearing time (CCT) verifies that CCT is increased by DVSG topology.

Transient Stability of Power Grids Comprising Wind Turbines: New Formulation, Implementation, and Application in Real-Time Assessment

2019 ◽  
Vol 13 (1) ◽  
pp. 894-905 ◽  
Author(s):  
Mohsen Tajdinian ◽  
Ali Reza Seifi ◽  
Mehdi Allahbakhshi
Keyword(s):  
Real Time ◽  
Wind Turbines ◽  
Transient Stability ◽  
Power Grids ◽  
New Formulation ◽  
Time Assessment

Application of Bayesian Learning Mechanism in Power System Transient Stability Assessment

2010 ◽  
Vol 108-111 ◽  
pp. 765-770
Author(s):  
Lin Niu ◽  
Jian Guo Zhao ◽  
Ke Jun Li ◽  
Zhen Yu Zhou
Keyword(s):  
Machine Learning ◽  
Power System ◽  
Real Time ◽  
Bayesian Learning ◽  
Transient Stability ◽  
Decision Function ◽  
Machine Learning Algorithms ◽  
Support Vector ◽  
Svm Classifier ◽  
Stability Assessment

One of the most challenging problems in real-time operation of power system is the prediction of transient stability. Fast and accurate techniques are imperative to achieve on-line transient stability assessment (TSA). This problem has been approached by various machine learning algorithms, however they find a class decision estimate rather than a probabilistic confidence of the class distribution. To counter the shortcoming of common machine learning methods, a novel machine learning technique, i.e. ‘relevance vector machine’ (RVM), for TSA is presented in this paper. RVM is based on a probabilistic Bayesian learning framework, and as a feature it can yield a decision function that depends on only a very fewer number of so-called relevance vectors. The proposed method is tested on New England power system, and compared with a state-of-the-art ‘support vector machine’ (SVM) classifier. The classification performance is evaluated using false discriminate rate (FDR). It is demonstrated that the RVM classifier can yield a decision function that is much sparser than the SVM classifier while providing higher classification accuracy. Consequently, the RVM classifier greatly reduces the computational complexity, making it more suitable for real-time implementation.

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