الفهرس 
Motivation of Research
OPTIMIZATIONOnly 14 pages are availabe for public view
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Abstract
Optimal power flow (OPF) is a load flow study that uses optimization methods to adjust decision variables (control variables) to achieve best operation for the electrical system. OPF is a fundamental function of electrical system controlling and operation. It aims to estimate the best value for real generating power and bus voltage.
This research inspects OPF operating point which minimizes the total fuel cost while satisfying specific system constrains.
First, we make a brief review on the optimization approaches in general with numerical examples for multiobjective optimization approaches. Then, this thesis proposes solution for OPF issue by using two robust and effective evolutionary based (meta-heuristic) methods named “Shuffled Frog Leaping Algorithm” (SFLA) and “Grey Wolf Optimizer” (GWO). SFLA simulates the frogs’ behavior while they search for food. GWO simulates the grey wolves’ attitude when hunting for prey.
These techniques are simulated and examined on the “standard IEEE 30-bus (SIE-30) and standard IEEE 57-bus (SIE-57) systems”. Moreover, the implementations of the two methods are examined and the simulation outcomes are compared with each other and also with other optimization techniques.