Simulated Annealing Based Real Power Loss Minimization Aspect for a Large Power Network

2013 ◽  
pp. 345-353
Author(s):  
Syamasree Biswas ◽  
Kamal Krishna Manadal ◽  
Niladri Chakraborty
Keyword(s):  
Simulated Annealing ◽  
Power Loss ◽  
Power Network ◽  
Loss Minimization ◽  
Large Power ◽  
Real Power ◽  
Power Loss Minimization

Reactive Power Loss Minimization on an Interconnected Electric Power Network

2018 ◽  
pp. 207-228
Author(s):  
Uche Chinweoke Ogbuefi ◽  
Boniface Onyemaechi Anyaka ◽  
Muncho Josephine Mbunwe
Keyword(s):  
Electric Power ◽  
Power Loss ◽  
Reactive Power ◽  
Power Network ◽  
Loss Minimization ◽  
Power Loss Minimization

scholarly journals Application of Firefly Algorithm in Voltage Stability Environment Incorporating Circuit Element Model of SSSC with Variable Susceptance Model of SVC

2014 ◽  
Vol 2014 ◽  
pp. 1-11 ◽  
Author(s):  
Luke Jebaraj ◽  
Charles Christober Asir Rajan ◽  
Kumar Sriram
Keyword(s):  
Power Loss ◽  
Voltage Stability ◽  
Firefly Algorithm ◽  
Stability Limit ◽  
Operating Conditions ◽  
Voltage Profile ◽  
Loss Minimization ◽  
Circuit Element ◽  
Real Power ◽  
Power Loss Minimization

This paper proposes an application of firefly algorithm (FA) based extended voltage stability margin and minimization of active (or) real power loss incorporating Series-Shunt flexible AC transmission system (FACTS) controller named as static synchronous series compensator (SSSC) combined with static var compensator (SVC). A circuit model of SSSC and variable susceptance model of SVC are utilized to control the line power flows and bus voltage magnitudes, respectively, for real power loss minimization and voltage stability limit improvement. The line quality proximity index (LQP) is used to assess the voltage stability of a power system. The values of voltage profile improvement, real power loss minimization, and the location and size of FACTS devices were optimized by FA. The results are obtained from the IEEE 14- and 30-bus test case systems under different operating conditions and compared with other leading evolutionary techniques such as shuffled frog leaping algorithm (SFLA), differential evolution (DE) and particle swarm optimization (PSO).

Reactive power control for real power-loss minimization

1988 ◽  
Vol 1 (3) ◽  
pp. 16-21 ◽  
Author(s):  
M.A.H. El-Sayed ◽  
T.M. Abdel-Rahman ◽  
M.O. Mansour
Keyword(s):  
Power Control ◽  
Power Loss ◽  
Reactive Power ◽  
Loss Minimization ◽  
Reactive Power Control ◽  
Real Power ◽  
Power Loss Minimization
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