A New Line Voltage Stability Index (NLVSI) For Voltage Stability Assessment

2019 ◽  
pp. 535-548 ◽  
Author(s):  
Trinadha Burle ◽  
V. V. S. Bhaskara Reddy Chintapalli ◽  
Phanindra Thota
Keyword(s):  
Voltage Stability ◽  
Stability Index ◽  
Stability Assessment ◽  
Line Voltage ◽  
Voltage Stability Index

scholarly journals Implementation of Static Line Voltage Stability Indices for Improved Static Voltage Stability Margin

2019 ◽  
Vol 2019 ◽  
pp. 1-14 ◽  
Author(s):  
Natakorn Thasnas ◽  
Apirat Siritaratiwat
Keyword(s):  
Optimal Power Flow ◽  
Voltage Stability ◽  
Stability Margin ◽  
Stability Index ◽  
System Stability ◽  
Line Voltage ◽  
Voltage Stability Index ◽  
Static Voltage Stability ◽  
Voltage Stability Margin ◽  
Stability Indices

Nowadays, the changes of economic, environment, and regulations are forcing the electric utilities to operate systems at maximum capacity. Therefore, the operation and control of power system to improve the system stability has been receiving a great deal of attention. This paper presents an approach for enhancing the static voltage stability margin and reducing the power losses of the system with voltage security-constrained optimal power flow (VSC-OPF) that is based on static line voltage stability indices. The control approaches incorporate the voltage stability criteria into the conventional OPF. The minimization of the summation of fast voltage stability index (FVSI), line stability index (Lmn), and line voltage stability index (LVSI) is used as the objective functions. The performance and effectiveness of the proposed control approaches are evaluated on the standard IEEE 30-bus, 57-bus, and 118-bus test systems under normal and contingency conditions. The comparison analysis is carried out with different cases including minimization of generation cost. The proposed control approaches indicate the promising results and offer efficient countermeasures against the voltage instability of the system.

Fast Voltage Stability Index (FVSI) Based Technique for Congestion Management Assessment

2015 ◽  
Vol 793 ◽  
pp. 49-53
Author(s):  
Nur Zahirah Mohd Ali ◽  
Ismail Musirin ◽  
H. Mohamad
Keyword(s):  
Voltage Stability ◽  
Optimization Technique ◽  
Stability Index ◽  
Congestion Management ◽  
Optimal Location ◽  
Stability Assessment ◽  
Voltage Stability Index ◽  
Facts Devices ◽  
Line Identification ◽  
Particle Swarm Optimization Technique

This paper presents a voltage stability assessment based approach to determine the congested line with optimal sizing and location. FVSI, a voltage stability index is chosen as the indicator for congested line identification, while particle swarm optimization technique (PSO) is used for optimal location and sizing of FACTs devices installation. Congested line is identified by increasing the reactive load at chosen load buses until they reach the maximum loadability level. PSO is applied for identifying the optimal location and sizing of FACTs devices as the compensating device. Results obtained from the implementation on IEEE 30 Bus RTS revealed that the proposed technique can manage the congestion subject to various disturbances.

On-line voltage stability index based on the voltage equation of transmission lines

2016 ◽  
Vol 10 (14) ◽  
pp. 3441-3448 ◽  
Author(s):  
Xue Ancheng ◽  
Liu Ruihuang ◽  
Li Mingkai ◽  
Joe H. Chow ◽  
Bi Tianshu ◽  
...  
Keyword(s):  
Transmission Lines ◽  
Voltage Stability ◽  
Stability Index ◽  
Line Voltage ◽  
Voltage Stability Index ◽  
On Line

scholarly journals TRAINING EFFECTS ON NEURAL NETWORK METHODS FOR VOLTAGE STABILITY INDEX COMPUTATION

2014 ◽  
pp. 144-147
Author(s):  
LEELA SALIM ◽  
ANISH FRANCIS ◽  
Tibin Joseph
Keyword(s):  
Neural Network ◽  
Power Systems ◽  
Voltage Stability ◽  
Reactive Power ◽  
Stability Index ◽  
Real Field ◽  
Stability Assessment ◽  
Voltage Stability Index ◽  
Network Methods ◽  
Assessment Techniques

Voltage stability assessment plays a key role in operations of power systems. Neural network based assessment techniques are gaining a lot of attention in this area. In this work, we presents the effects of training parameters on assessment of voltage stability index based on the real field data .The stress on the bus is analyzed on the basis of real and reactive power, and the changes in the index based on contingencies in the system is presented. The work is focused on radial distribution power systems and is based on Kerala grid, India.

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