scholarly journals Optimal Power Flow with Considering Voltage Stability using Chaotic Firefly Algorithm

2019 ◽  
Vol 2 (1) ◽  
pp. 1-7
Author(s):  
Yun Tonce Kusuma Priyanto ◽  
◽  
Vicky Mudeng ◽  
Muhammad Robith ◽  
◽  
...  
Keyword(s):  
Power Flow ◽  
Optimal Power Flow ◽  
Voltage Stability ◽  
Firefly Algorithm ◽  
Optimal Power

scholarly journals Optimal Power Flow with Considering Voltage Stability using Chaotic Firefly Algorithm

2019 ◽  
Vol 2 (1) ◽  
pp. 1-7 ◽  
Author(s):  
Yun Tonce Kusuma Priyanto ◽  
Vicky Mudeng ◽  
Muhammad Robith ◽  
◽  
◽  
...  
Keyword(s):  
Electric Vehicle ◽  
Power Flow ◽  
Optimal Power Flow ◽  
Voltage Stability ◽  
Firefly Algorithm ◽  
Power Transmission ◽  
Electrical Power ◽  
Optimal Power ◽  
Metaheuristic Methods ◽  
Generation Cost

In transportation technology, the development of electric vehicle is growing rapidly. In the future, the availability of electrical power is crucial because every electric tool needs electrical power. Power plant must provide electrical power for all consumer include an electric vehicle. Sustainability of electrical power transmission and distribution must be considered as critical due to its high power consumption in the community. One of the problem to supply electrical power is how to keep the system’s voltage stability. Several variations on the load pattern and topological can lead to a substantial poor impact on the system. However, generation cost must be considered by utilities’ operator. This paper demonstrates a recently developed metaheuristic method called Chaotic Firefly Algorithm (CFA). Our simulation shows that this method may perform better than several well-known metaheuristic methods. Therefore, CFA may become a promising method to solve optimal power flow considering voltage stability cases.

Improved Pseudo-Gradient Search Particle Swarm Optimization for Optimal Power Flow Problem

2016 ◽  
pp. 177-207 ◽  
Author(s):  
Jirawadee Polprasert ◽  
Weerakorn Ongsakul ◽  
Vo Ngoc Dieu
Keyword(s):  
Particle Swarm Optimization ◽  
Power Flow ◽  
Optimal Power Flow ◽  
Voltage Stability ◽  
Stability Index ◽  
Gradient Search ◽  
Fuel Cost ◽  
Swarm Optimization ◽  
Optimal Power ◽  
Voltage Deviation

This paper proposes an improved pseudo-gradient search particle swarm optimization (IPG-PSO) for solving optimal power flow (OPF) with non-convex generator fuel cost functions. The objective of OPF problem is to minimize generator fuel cost considering valve point loading, voltage deviation and voltage stability index subject to power balance constraints and generator operating constraints, transformer tap setting constraints, shunt VAR compensator constraints, load bus voltage and line flow constraints. The proposed IPG-PSO method is an improved PSO by chaotic weight factor and guided by pseudo-gradient search for particle's movement in an appropriate direction. Test results on the IEEE 30-bus and 118-bus systems indicate that IPG-PSO method is superior to other methods in terms of lower generator fuel cost, smaller voltage deviation, and lower voltage stability index.

scholarly journals Power Loss Minimization using Optimal Power Flow based on Firefly Algorithm

2021 ◽  
Vol 12 (9) ◽  
Author(s):  
Chia Shu Jun ◽  
Syahirah Abd Halim ◽  
Hazwani Mohd Rosli ◽  
Nor Azwan Mohamed Kamari
Keyword(s):  
Power Loss ◽  
Power Flow ◽  
Optimal Power Flow ◽  
Firefly Algorithm ◽  
Loss Minimization ◽  
Power Loss Minimization ◽  
Optimal Power
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