Critical clearing time estimation of multi-machine power system transient stability using fuzzy logic (original) (raw)

Transient Stability Analysis of a Two-Machine Power System under Different Fault Clearing Times

This system is again studied by the CYME power system simulation software at different fault clearing times of 0.05, 0.07, 0.10, 0.15 and 0.225 seconds respectively, after disconnecting the line 4-5. The results obtained by the proposed method have been compared with the results obtained by simulation. It has been found that the twomachine system is stable for the first four fault clearing times while it is unstable for the fault clearing time of 0.225 seconds. 

A transient stability assessment method using post-fault trajectories

2013 IEEE Grenoble Conference, 2013

Transient Stability Assessment (TSA) is the process in which the stability of a system is characterized qualitatively or quantitatively. The TSA algorithm presented in this paper is derived from the well-established Single Machine Equivalent (SIME) method and can thus be categorized as a hybrid directtemporal method. The novelty of the proposed algorithm is that it derives a Transient Stability Index (TSI) with a single Time-Domain (TD) simulation for both stable and unstable cases. The resulting TSI is uniform in units and linear around the instability point. Results are reported for two sample power systems of 9 and 36 buses. The proposed algorithm has also been successfully employed to speed-up a Critical Clearing Time (CCT) determination algorithm.

ANALYSIS OF TRANSIENT STABILITY IN A PRACTICAL POWER SYSTEM UNDER DIFFERENT CONTINGENCIES

IAEME PUBLICATION, 2023

An essential phase in power system analysis is the investigation of an electric power system's transient stability. This study examines a practical system of five generators and thirteen buses transient stability. The pre-fault conditions are first identified through a load flow investigation. In order to analyze post-fault conditions such, the quick fault clearing time and load switching and verify the stability of the system, fault analysis is additionally carried out. The NR approach is used for transient stability analysis, and the system's MW terminal, accelerated MW, and rotor angle are investigated for system variation under various fault conditions. PWS, or the power world simulator software is employed for conducting the simulations. It is observed that a small increase in clearing time from the critical value causes un-synchronism in the machine due to this system becomes unstable

Transient Stability Improvement of Multi-machine Power System using Fuzzy Controlled TCSC

Power system is subjected to sudden changes in load levels. Stability is an important concept which determines the stable operation of power system. In general rotor angle stability is taken as index, but the concept of transient stability, which is the function of operating condition and disturbances deals with the ability of the system to remain intact after being subjected to abnormal deviations. A system is said to be synchronously stable (i.e., retain synchronism) for a given fault if the system variables settle down to some steady-state values with time, after the fault is removed.

Improved model for investigating transient stability in multimachine power systems

Indonesian Journal of Electrical Engineering and Computer Science, 2019

The determinant factor in transient stability study of electric power systems is the behavior of synchronous generators when subjected to sudden and large disturbances. The objective of this paper is to develop a mathematical model, general algorithm, and a computer program to investigate the transient stability of multi-machine power systems. The developed mathematical model is established as a first step. The new developments lie in modeling the fault occurrence and fault clearance as well as the procedure of computing the system matrices during and after the fault through only modification of the matrix before the fault. Based on the developed mathematical model, a general algorithm was built and translated into a computer program using an object-oriented and visual language called Delphi. The algorithm adopted the Runge-Kutta method for numerical solution of differential swing equations and was programmed within the program. The developed program was validated by applying it to ...

IJERT-Analysis the Effect of Transient Stability of Multimachine Five Bus System on the Basis of Various Fault Clearing Time by Simulink model

International Journal of Engineering Research and Technology (IJERT), 2016

https://www.ijert.org/analysis-the-effect-of-transient-stability-of-multi-machine-five-bus-system-on-the-basis-of-various-fault-clearing-time-by-simulink-model https://www.ijert.org/research/analysis-the-effect-of-transient-stability-of-multi-machine-five-bus-system-on-the-basis-of-various-fault-clearing-time-by-simulink-model-IJERTV5IS010475.pdf This paper introduces a method to analyze the effect of transient stability for power system with 5 bus system in MATLAB using simulink based model. It is as a tool to identify stable and unstable conditions of a power system after fault clearing with solving differential equations of prefault, post fault and during fault condition. The model is totally depends on the effect of fault clearing time and critical clearing time. The various fault clearing time and their effect on relative angular position, accelerating power and angular velocity of generators are analyzed in this paper.

Transient Stability Assessment and Enhancement in Power System

Power system is subjected to sudden changes in load levels. Stability is an important concept which determines the stable operation of power system. For the improvement of transient stability the general methods adopted are fast acting exciters, circuit breakers and reduction in system transfer reactance. The modern trend is to employ FACTS devices in the existing system for effective utilization of existing transmission resources. The critical clearing time is a measure to assess transient instability. Using PSAT, the critical clearing time (CCT) corresponding to various faults are calculated. The most critical faults were identified using this calculation. The CCT for the critical faults were found to change with change in operating point. The CCT values are predicted using Artificial Neural Network (ANN) to study the training effects of ANN. TCSC is selected as the FACTS device for transient stability enhancement. Particle Swarm Optimization method is used to find the optimal position of TCSC using the objective function real power loss minimization. The result shows that the technique effectively increases the transient stability of the system.

Transient Stability Assessment Using an Adaptive Fuzzy Classification Technique

Electric Power Components and Systems, 2006

The work presented in this paper describes a scheme for applying the adaptive fuzzy classification technique on the power systems transient stability assessment (TSA) problem. In this technique, a fuzzy rule-based classification system was constructed. The proposed scheme was tested using a standard test power system. The results of the proposed approach were compared with the results obtained using the normal fuzzy technique. The comparison demonstrates the advantages obtained when using adaptive fuzzy technique over the normal fuzzy technique.

IJERT-Transient Stability Enhancement of Multi-machine Power System using Fuzzy Controlled TCSC

International Journal of Engineering Research and Technology (IJERT), 2014

https://www.ijert.org/transient-stability-enhancement-of-multi-machine-power-system-using-fuzzy-controlled-tcsc https://www.ijert.org/research/transient-stability-enhancement-of-multi-machine-power-system-using-fuzzy-controlled-tcsc-IJERTV1IS6179.pdf Power system is subjected to sudden changes in load levels. Stability is an important concept which determines the stable operation of power system. In general rotor angle stability is taken as index, but the concept of transient stability, which is the function of operating condition and disturbances deals with the ability of the system to remain intact after being subjected to abnormal deviations. For the improvement of transient stability the general methods adopted are fast acting exciters, circuit breakers and reduction in system transfer reactance. The modern trend is to employ FACTS devices in the existing system for effective utilization of existing transmission resources. These FACTS devices contribute to power flow improvement besides they extend their services in transient stability improvement as well. In this paper, the studies had been carried out in order to improve the Transient Stability of WSCC 9 Bus System with Fixed Compensation on Various Lines and Optimal Location has been investigated using trajectory sensitivity analysis for better results. In order to improve the Transient Stability margin further series FACTS device has been implemented. A fuzzy controlled Thyristor Controlled Series Compensation (TCSC) device has been used here and the results highlight the effectiveness of the application of a TCSC in improving the transient stability of a power system.

Power System Transient Stability Improvement Using Fuzzy Controlled STATCOM

2006 International Conference on Power System Technology, 2006

In this paper a fuzzy logic based controller for STATCOM is used to improve power system transient stability. As opposed to the modern control theory, fuzzy logic design is not based on the mathematical model of the process. The controller designed using fuzzy logic implements human reasoning that can be programmed into fuzzy logic language (membership functions, rules and the rule interpretation). The nonlinear fuzzy controller is proposed to supply a supplementary control signal to STATCOM to increase the critical clearing time and overcome the uncertainties existing in the power systems. Proposed method is implemented in a single machine infinite bus system and the results are compared with conventional energy function based controllers.