Genetic Algorithm Based Optimum Reactive Power Dispatch for Voltage stability Enhancement in the Presence of FACTS devices

2008 ◽  
Vol 1 (4) ◽  
pp. 30-38
Author(s):  
K. Vaisakh ◽  
P.Kanta Rao
Keyword(s):  
Genetic Algorithm ◽  
Voltage Stability ◽  
Reactive Power ◽  
Facts Devices ◽  
Power Dispatch ◽  
Voltage Stability Enhancement ◽  
Reactive Power Dispatch ◽  
Stability Enhancement

scholarly journals ACTIVE POWER LOSS DIMINUTION & VOLTAGE STABILITY ENHANCEMENT BY RED WOLF OPTIMIZATION ALGORITHM

2018 ◽  
Vol 6 (11) ◽  
pp. 355-365
Author(s):  
K. Lenin
Keyword(s):  
Optimization Algorithm ◽  
Voltage Stability ◽  
Reactive Power ◽  
Pso Algorithm ◽  
Test System ◽  
Red Wolf ◽  
Optimal Reactive Power Dispatch ◽  
Voltage Stability Enhancement ◽  
Reactive Power Dispatch ◽  
Stability Enhancement

In this paper optimal reactive power dispatch problem (ORPD), has been solved by Enriched Red Wolf Optimization (ERWO) algorithm. Projected ERWO algorithm hybridizes the wolf optimization (WO) algorithm with swarm based algorithm called as particle swarm optimization (PSO) algorithm. In the approach each Red wolf has a flag vector, and length is equivalent to the whole sum of numbers which features in the dataset of the wolf optimization (WO). Exploration capability of the projected Red wolf optimization algorithm has been enriched by hybridization of both WO with PSO. Efficiency of the projected Enriched Red wolf optimization (ERWO) evaluated in standard IEEE 30 bus test system. Simulation study indicates Enriched Red wolf optimization (ERWO) algorithm performs well in tumbling the actual power losses& particularly voltage stability has been enriched.

scholarly journals Application of FVSI, Lmn and CPF Techniques for Proper Positioning of FACTS Devices and SCIG Wind Turbine Integrated to a Distributed Network for Voltage Stability Enhancement

2019 ◽  
Vol 9 (5) ◽  
pp. 4824-4829
Author(s):  
S. H. Eisa Osman ◽  
G. K. Irungu ◽  
D. K. Murage
Keyword(s):  
Wind Power ◽  
Voltage Stability ◽  
Reactive Power ◽  
Stability Margin ◽  
Simulation Software ◽  
System Stability ◽  
Test Scheme ◽  
Facts Devices ◽  
Voltage Stability Enhancement ◽  
Stability Enhancement

Induction power generators are the most popular wind energy conversion systems (WECS) because they do not require synchronization units. However, they usually draw a huge quantity of reactive power during disturbances. Hence, incorporating wind power into power networks may cause voltage instability. This paper presents the usage of STATCOM and SSSC FACTS devices for voltage stability enhancement of a distribution network with a squirrel cage induction generator (SCIG) wind power turbine. The continuation power flow (CPF) approach is utilized as a tool to determine the most suitable position of SCIG in the system. Also, voltage stability indices (FVSI and Lmn) are employed to estimate the stability margin of the system by figuring the weakest transmission lines and buses in order to locate the appropriate position where the FACTS devices should be installed. A comparison of the suitability of the FACTS devices to restore system stability was evaluated under 3-phase fault conditions. The results illustrated that STATCOM behaves better than SSSC when the system is restoring from a fault. Simulations and voltage stability assessment were carried out on the IEEE 14 bus test scheme using the PSAT simulation software package.

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