Prediction of Voltage Collapse in Power System Using Voltage Stability Indices

2016 ◽  
pp. 51-58 ◽  
Author(s):  
Pallavi Choudekar ◽  
Divya Asija ◽  
Ruchira
Keyword(s):  
Power System ◽  
Voltage Stability ◽  
Voltage Collapse ◽  
Stability Indices

scholarly journals Voltage Collapse Prediction of IEEE 30-Bus system

2021 ◽  
Vol 28 (1) ◽  
pp. 98-112
Author(s):  
Mohammed Ibrahim ◽  
Abdulsattar Jasim
Keyword(s):  
Power System ◽  
Modal Analysis ◽  
Voltage Stability ◽  
Stability Index ◽  
Maximum Load ◽  
Voltage Collapse ◽  
Analysis Method ◽  
The Stability ◽  
Stability Indices ◽  
Participation Factor

Voltage collapse in the power system occurs as a result of voltage instability, thus which lead to a blackout, and this is a constant concern for network workers and customers alike. In this paper, voltage collapse is studied using two approved methods: the modal analysis method and voltage stability indices. In the modal analysis method, the eigenvalues were calculated for all the load buses, through which it is possible to know the stability of the power system, The participation factor was also calculated for the load buses, which enables us to know the weakest buses in the system. As for the Voltage stability Indices method, two important indices were calculated, which are: Fast Voltage Stability Index (FVSI) and Line stability index (Lmn). These two indices give a good visualization of the stability of the system and the knowledge of the weakest buses, as well as the Maximum load-ability of the load buses. The above mentioned two methods were applied using software code using MATLAB \ R2018a program to the IEEE 30-Bus test system. In the modal analysis, the buses which have the maximum participation factor are 26, 29, and 30 this indicates that they are the weakest in the system. as well as in the voltage stability indices. These buses have the lowest maximum load ability which demonstrates the possibility of using both methods or one of them to study the voltage collapse.

scholarly journals A statistical jacobian application for power system optimization of voltage stability

2019 ◽  
Vol 13 (1) ◽  
pp. 331 ◽  
Author(s):  
Raja Masood Larik ◽  
Mohd. Wazir Mustafa ◽  
Manoj Kumar Panjwani
Keyword(s):  
Power Systems ◽  
Power System ◽  
Optimal Power Flow ◽  
Voltage Stability ◽  
Stability Margin ◽  
Singular Values ◽  
System Optimization ◽  
Load Flow ◽  
Voltage Collapse ◽  
Large Power

<p>Despite a tremendous development in optimal power flow (OPF), owing to the obvious complexity, non-linearity and unwieldy size of the large interconnected power systems, several problems remain unanswered in the existing methods of OPF. Seizing specific topics for maximizing voltage stability margin and its implementation, a detailed literature survey discussing the existing methods of solution and their drawbacks is presented in this research. The phenomenon of voltage collapse in power systems, methods to investigate voltage collapse, and methods related to voltage stability are briefly surveyed. Finally, the study presents a statistical method for analyzing a power system through eigenvalue analysis in relation to the singular values of the load flow Jacobian. Future study may focus on changes in theories in conjunction with large power systems.</p>

scholarly journals POWER SYSTEM CONTINGENCY RANKING BASED ON SHORT-TERM VOLTAGE STABILITY INDICES

2019 ◽  
Vol 49 (4) ◽  
pp. 225-232
Author(s):  
Jaime Dwaigth Pinzon Casallas ◽  
D. G. Colomé
Keyword(s):  
Dynamic Response ◽  
Power System ◽  
New England ◽  
Voltage Stability ◽  
Short Term ◽  
Voltage Instability ◽  
Contingency Ranking ◽  
Dynamic Voltage ◽  
Stability Indices

This paper presents a novel methodology to identify critical contingencies that produce short-term voltage stability problems (STVS). The proposed methodology classifies the state of the pow-er system for each contingency, assessing the voltage stability of the post-contingency dynamic response from the calculation of the maximal Lyapunov expo-nent (MLE) and dynamic voltage indices at each bus and the whole system. In order to determine the crit-ical contingencies, the values of the indices and the results of the classification of the post-contingency state are statistically analysed. The methodology is tested in the New England 39-bus system, obtaining satisfactory results in relation to the identification not only of the most critical contingencies but also of vulnerable buses to voltage instability. New contri-butions of this work are the contingency classifica-tion methodology, the algorithm for calculating dy-namic indices and the method of classification of the operating state as a function of the STVS problem magnitude.

scholarly journals Voltage Stability Analysis and Stability Improvement of Power System

2015 ◽  
Vol 5 (2) ◽  
pp. 189 ◽  
Author(s):  
Pavithren Pavithren ◽  
Raman Raghu Raman ◽  
Pratap Nair ◽  
K. Nithiyananthan
Keyword(s):  
Stability Analysis ◽  
Power Systems ◽  
Power System ◽  
Voltage Stability ◽  
Research Work ◽  
Voltage Collapse ◽  
Interconnected System ◽  
Voltage Instability ◽  
System A ◽  
The Stability

<p>The main objective of this research work is to analysis the voltage stability of the power system network and its improvement in the network.voltage stability of a power system. A system enters a state of voltage instability when a disturbance, increase in load demand, or change in system condition causes a progressive and an uncontrollable drop in voltage or voltage collapse. The continuing increase in demand for electric power has resulted in an increasingly complex, interconnected system, forced to operate closer to the limits of the stability. This has necessitated the implementation of techniques for analyzing and detecting voltage collapse in bus bar or lines prior to its occurrence. Simple Newton Raphson algorithm based voltage stability analysis has been carried out. Matlab based simulations for all the factors that causes voltage instability has been implemented and analyzed for an IEEE 30 bus system. The proposed model is able to identify the behavior of the power systems, network under various voltage stability conditions and its possibility of recovery/stability improvement of the power system network has been discussed.</p>

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