EFFECT OF FUZZY PENALTY ON CONVERSION OF OPTIMAL POWER FLOW USING GENETIC ALGORITHM
EFFECT OF FUZZY PENALTY ON CONVERSION
OF OPTIMAL POWER FLOW USING GENETIC
ALGORITHM
C M Wankhade1
* and A.P.Vaidya2
1
Lokmanya Tilak
College of Engineering, Navi Mumbai, India
2Walchand College of Engineering, Sangli, India
ABSTRACT
The optimal power problem seeks to find an optimal profile of active and reactive power generation along
with the voltage magnitudes in such a manner as to minimize the total operating cost of electric power
system, while satisfying network security constraints .The Simple Genetic Algorithm with fixed penalty and
variable penalty advantages finds its own utility in optimal power flow solutions .This paper presents three
algorithm with an effect of variable penalty using Fuzzy Logic selection on the convergence of OPF. Fuzzy
Logic variable penalty based study is provided to visualize the effect of selection of control variables on
OPF convergence with solution time and improved value. Extensive study is provided on IEEE 30 bus
system to draw certain important conclusions
Key words:
Optimal Power Flow ,Fuzzy Penalty ,Variable Penalty, Genetic Algorithm, contingencies
Original Source URL : http://airccse.com/ijaceee/papers/2114ijaceee01.pdf
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