Test of Significance and Fiducial Limit of Voltage Stability Index for Indian 205 Bus System

Voltage delivery stability is frequently used to analyze power delivery systems. Under stressed condition, these indices denote the flexibility of voltage stability condition and predict the voltage collapse phenomenon by weak area clustering. The prediction of voltage collapse is very important for the smooth operation of power system, so that situation of voltage collapse could be avoided. For small transmission system, these indices work satisfactorily. In the present work, a large transmission system equivalent to 205 bus Indian transmission system has been examined. The Fast Voltage Stability Index (FVSI) proposed has been applying to test the system under consideration. Various aspects of power delivery system for example voltage profile, maximum load-ability limit, weakest bus and the different weak area clustering have been examined. Although the FVSI values obtained in the test result are capable of identifying the weak buses of the system, yet they vary in a non-linear manner i.e. for increasing values of load, the FVSI values first increase and then decrease.

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Whale Optimization Algorithm Based Technique for Distributed Generation Installation in Distribution System

Bulletin of Electrical Engineering and Informatics ◽

10.11591/eei.v7i3.1276 ◽

2018 ◽

Vol 7 (3) ◽

pp. 442-449

Author(s):

Mohd Nurulhady Morshidi ◽

Ismail Musirin ◽

Siti Rafidah Abdul Rahim ◽

Mohd Rafi Adzman ◽

Mohamad Hatta Hussain

Keyword(s):

Distributed Generation ◽

Optimization Algorithm ◽

Distribution System ◽

Voltage Stability ◽

Stability Index ◽

Transmission System ◽

Whale Optimization Algorithm ◽

Voltage Profile ◽

Voltage Stability Index ◽

Whale Optimization

This paper presents Whale Optimization Algorithm (WOA) Based Technique for Distributed Generation Installation in Transmission System. In this study, WOA optimization engine is developed for the installation of Distributed Generation (DG). Prior to the optimization process, a pre-developed voltage stability index termed Fast Voltage Stability Index (FVSI) was used as an indicator to identify the location for the DG to be installed in the system. Meanwhile, for sizing the DG WOA is employed to identify the optimal sizing. By installing DG in the transmission system, voltage stability and voltage profile can be improved, while power losses can be minimized. The proposed algorithm was tested on 30-bus radial distribution network. Results obtained from the EP were compared with firefly algorithm (FA); indicating better results. This highlights the strength of WOA over FA in terms of minimizing total losses.

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Application of UPFC for enhancement of voltage profile and minimization of losses using Fast Voltage Stability Index (FVSI)

Archives of Electrical Engineering ◽

10.2478/v10171-012-0020-4 ◽

2012 ◽

Vol 61 (2) ◽

pp. 239-250 ◽

Cited By ~ 6

Author(s):

M. Kumar ◽

P. Renuga

Keyword(s):

Power System ◽

Voltage Stability ◽

Reactive Power ◽

Optimization Technique ◽

Optimal Solution ◽

Stability Index ◽

Test System ◽

Unified Power Flow Controller ◽

Voltage Profile ◽

Voltage Stability Index

Application of UPFC for enhancement of voltage profile and minimization of losses using Fast Voltage Stability Index (FVSI)Transmission line loss minimization in a power system is an important research issue and it can be achieved by means of reactive power compensation. The unscheduled increment of load in a power system has driven the system to experience stressed conditions. This phenomenon has also led to voltage profile depreciation below the acceptable secure limit. The significance and use of Flexible AC Transmission System (FACTS) devices and capacitor placement is in order to alleviate the voltage profile decay problem. The optimal value of compensating devices requires proper optimization technique, able to search the optimal solution with less computational burden. This paper presents a technique to provide simultaneous or individual controls of basic system parameter like transmission voltage, impedance and phase angle, thereby controlling the transmitted power using Unified Power Flow Controller (UPFC) based on Bacterial Foraging (BF) algorithm. Voltage stability level of the system is defined on the Fast Voltage Stability Index (FVSI) of the lines. The IEEE 14-bus system is used as the test system to demonstrate the applicability and efficiency of the proposed system. The test result showed that the location of UPFC improves the voltage profile and also minimize the real power loss.

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Optimization of Real Power Loss and Voltage Stability Index for Distribution Systems with Distributed Generation

International Journal of Engineering Research in Africa ◽

10.4028/www.scientific.net/jera.33.100 ◽

2017 ◽

Vol 33 ◽

pp. 100-114 ◽

Cited By ~ 2

Author(s):

Mostafa Elshahed ◽

Mahmoud Dawod ◽

Zeinab H. Osman

Keyword(s):

Genetic Algorithm ◽

Distributed Generation ◽

Distribution Systems ◽

Voltage Stability ◽

Reactive Power ◽

Optimization Problems ◽

Stability Index ◽

Mixed Integer ◽

Voltage Profile ◽

Voltage Stability Index

Integrating Distributed Generation (DG) units into distribution systems can have an impact on the voltage profile, power flow, power losses, and voltage stability. In this paper, a new methodology for DG location and sizing are developed to minimize system losses and maximize voltage stability index (VSI). A proper allocation of DG has to be determined using the fuzzy ranking method to verify best compromised solutions and achieve maximum benefits. Synchronous machines are utilized and its power factor is optimally determined via genetic optimization to inject reactive power to decrease system losses and improve voltage profile and VSI. The Augmented Lagrangian Genetic Algorithm with nonlinear mixed-integer variables and Non-dominated Sorting Genetic Algorithm have been implemented to solve both single/multi-objective function optimization problems. For proposed methodology effectiveness verification, it is tested on 33-bus and 69-bus radial distribution systems then compared with previous works.

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Prioritizing the Restoration of Out of Service Transformers in a Transmission System

International Journal of Sensors Wireless Communications and Control ◽

10.2174/2210327909666190624110012 ◽

2019 ◽

Vol 09 ◽

Author(s):

Madhvi Gupta ◽

AK Gupta ◽

NK Sharma

Keyword(s):

Transmission Line ◽

Voltage Stability ◽

Stability Index ◽

Transmission System ◽

Load Flow ◽

Matlab Software ◽

Voltage Stability Index ◽

Matlab Program

: A technique is proposed to decide the priority of out of transformer for repairing or replacement. Based on voltage stability, priority is assign for repairing or replacing the particular transformer. By using this method, number of out of service transformers in the transmission line can be find out and can be replaced or repair. The technique has been implemented in Matlab software, which is used to rank all the out of service transformer in the system. This Matlab program has been developed to conduct load-flow including Voltage Stability Index. This index ranks all the line. Transformer located at weakest line should be repaired first technically. The proposed method in this paper aims on the reliability of the system.

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A Linear Voltage Stability Index to Estimate the Distance to Voltage Collapse

Australian Journal of Electrical & Electronics Engineering ◽

10.1080/1448837x.2008.11464200 ◽

2008 ◽

Vol 5 (1) ◽

pp. 55-64 ◽

Cited By ~ 1

Author(s):

M.H. Haque

Keyword(s):

Voltage Stability ◽

Stability Index ◽

Voltage Collapse ◽

Voltage Stability Index ◽

Linear Voltage

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Voltage Stability Index of Radial Distribution Networks by Considering Distributed Generator for Different Types of Loads

International Journal of Energy Optimization and Engineering ◽

10.4018/ijeoe.2016010101 ◽

2016 ◽

Vol 5 (1) ◽

pp. 1-22 ◽

Cited By ~ 2

Author(s):

Tapan Kumar Chattopadhyay ◽

Sumit Banerjee ◽

Chandan Kumar Chanda

Keyword(s):

Stability Analysis ◽

Radial Distribution ◽

Distribution Systems ◽

Voltage Stability ◽

Stability Index ◽

Distribution Networks ◽

Voltage Collapse ◽

Distributed Generator ◽

Voltage Stability Index ◽

Different Types

The paper presents an approach on voltage stability analysis of distribution networks for loads of different types. A voltage stability index is proposed for identifying the node, which is most sensitive to voltage collapse. It is shown that the node, at which the value of voltage stability index is maximum, is more sensitive to voltage collapse. For the purpose of voltage stability analysis, constant power, constant current, constant impedance and composite load modeling are considered. Distributed generation can be integrated into distribution systems to meet the increasing load demand. It is seen that with the insertion of distributed generator (DG), load capability limit of the feeder has increased for all types of loads. By using this voltage stability index, one can measure the level of voltage stability of radial distribution systems and thereby appropriate action may be taken if the index indicates a poor level of stability. The effectiveness of the proposed method is demonstrated through two examples.

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Performance evaluation of voltage stability index to assess steady state voltage collapse

2014 6th IEEE Power India International Conference (PIICON) ◽

10.1109/poweri.2014.7117774 ◽

2014 ◽

Cited By ~ 5

Author(s):

Priti Prabhakar ◽

Ashwani Kumar

Keyword(s):

Performance Evaluation ◽

Steady State ◽

Voltage Stability ◽

Stability Index ◽

Voltage Collapse ◽

Voltage Stability Index

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Voltage collapse prediction using artificial neural network

International Journal of Electrical and Computer Engineering (IJECE) ◽

10.11591/ijece.v11i1.pp124-132 ◽

2021 ◽

Vol 11 (1) ◽

pp. 124

Author(s):

Samuel Isaac ◽

Soyemi Adebola ◽

Awelewa Ayokunle ◽

Katende James ◽

Awosope Claudius

Keyword(s):

Neural Network ◽

Voltage Stability ◽

Stability Index ◽

Voltage Collapse ◽

Feed Forward Neural Network ◽

Voltage Stability Index ◽

Voltage Instability ◽

Collapse Prediction ◽

R Value ◽

Bus System

Unalleviated voltage instability frequently results in voltage collapse; which is a cause of concern in power system networks across the globe but particularly in developing countries. This study proposed an online voltage collapse prediction model through the application of a machine learning technique and a voltage stability index called the new line stability index (NLSI_1). The approach proposed is based on a multilayer feed-forward neural network whose inputs are the variables of the NLSI_1. The efficacy of the method was validated using the testing on the IEEE 14-bus system and the Nigeria 330-kV, 28-bus National Grid (NNG). The results of the simulations indicate that the proposed approach accurately predicted the voltage stability index with an R-value of 0.9975 with a mean square error (MSE) of 2.182415x10−5 for the IEEE 14-bus system and an R-value of 0.9989 with an MSE of 1.2527x10−7 for the NNG 28 bus system. The results presented in this paper agree with those found in the literature.

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Voltage Collapse Prediction of IEEE 30-Bus system

Tikrit Journal of Engineering Sciences ◽

10.25130/tjes.28.1.10 ◽

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.

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Effect of SVC installation on loss and voltage in power system congestion management

Indonesian Journal of Electrical Engineering and Computer Science ◽

10.11591/ijeecs.v14.i1.pp428-435 ◽

2019 ◽

Vol 14 (1) ◽

pp. 428 ◽

Cited By ~ 3

Author(s):

Nur Zahirah Mohd Ali ◽

Ismail Musirin ◽

Hasmaini Mohamad

Keyword(s):

Power System ◽

Voltage Stability ◽

Optimization Technique ◽

Stability Index ◽

Evolutionary Programming ◽

Congestion Management ◽

Optimal Operation ◽

Voltage Profile ◽

Voltage Stability Index ◽

Ac Transmission

In this paper, a new hybrid optimization technique is proposed namely Adaptive Embedded Clonal Evolutionary Programming (AECEP). This idea comes from the combination part of the clone in an Artificial Immune System (AIS) and then combined with Evolutionary Programming (EP). This technique was implemented to determine the optimal sizing of Flexible AC Transmission Systems (FACTS) devices. This study focused on the ability of Static Var Compensator (SVC) is used for the optimal operation of the power system as well as in reducing congestion in power system. In order to determine the location of SVC, the previous study has been done using pre-developed voltage stability index, Fast Voltage Stability Index (FVSI). Congested lines or buses will be identified based on the highest FVSI value for the purpose of SVC placement. The optimizations were conducted for the SVC sizing under single contingency, where SVC was modeled in steady state analysis. The objective function of this study is to minimize the power loss and improve the voltage profile along with the reduction of congestion with the SVC installation in the system. Validation on the IEEE 30 Bus RTS and IEEE 118 Bus RTS revealed that the proposed technique managed to reduce congestion in power system.

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