Optimal placement of FACTS devices in power transmission network using power stability index and fast voltage stability index

2020 ◽  
Author(s):  
Rakesh Roshan ◽  
Padarbinda Samal ◽  
Pampa Sinha
Keyword(s):  
Voltage Stability ◽  
Power Transmission ◽  
Stability Index ◽  
Optimal Placement ◽  
Transmission Network ◽  
Power Stability ◽  
Voltage Stability Index ◽  
Facts Devices

Comparison of Voltage Stability Index with Optimal Placement of SSSC Considering Maximum Loadability

2021 ◽  
Author(s):  
Santosh Kumar Gupta ◽  
Sanjeev Kumar Mallik ◽  
Jayant Mani Tripathi ◽  
Pankaj Sahu
Keyword(s):  
Voltage Stability ◽  
Stability Index ◽  
Optimal Placement ◽  
Voltage Stability Index

A Comparative Study of BAT and Firefly Algorithms for Optimal Placement and Sizing of Static VAR Compensator for Enhancement of Voltage Stability

2015 ◽  
Vol 4 (1) ◽  
pp. 68-84 ◽  
Author(s):  
B. Venkateswara Rao ◽  
G.V. Nagesh Kumar
Keyword(s):  
Power System ◽  
Voltage Stability ◽  
Stability Index ◽  
Bat Algorithm ◽  
Transmission System ◽  
Optimal Location ◽  
System Stability ◽  
Optimal Placement ◽  
Static Var Compensator ◽  
Facts Devices

Modern electric power utilities are facing many challenges due to increasing power demand but the growth of power generation and transmission has been limited due to limited resources, environmental restrictions and right-of-way problems. These problems can be minimized by installing Flexible Alternating Current Transmission System (FACTS) devices in modern electric utilities to optimize the existing transmission system. Most effective use of the FACTS devices depend on the fact, how these devices are placed in the power system, i.e. the location and size. An optimal location and size of FACTS devices allows controlling its power flows and thus enhances the stability and reliability of the power systems. In this paper, Firefly Algorithm (FA) and BAT Algorithm (BAT) have been applied and compared to determine the optimal location and size of Static VAR Compensator (SVC) in a power system to improve voltage stability subjected to minimize the active power losses, fuel cost, branching loading and voltage deviation. The effectiveness of the proposed algorithms and improvement of power system stability has been demonstrated on IEEE 57 bus system using fast voltage stability index. The results obtained with variation of parameters of Firefly and BAT Algorithms has been studied and compared with Genetic Algorithm. The results are presented and analyzed.

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.

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