Optimal Power Flow by
Using New Multi Parent Crossover
Aitha1 and V. Sunil Kumar2
of EEE, St.Martin’s Engineering College, Hyderabad, T.S.
Engg.College, Hyderabad, T.S, e-Mail:
Engg.College, Hyderabad, T.S, e-Mail: Vskumar20@gmail.com
This paper proposed a new genetic algorithm for solving problem of optimal
power flow problem with both continuous and discrete variables. Over the last
twenty years there are different genetic algorithms were introduced to solve
optimization problems. Due to the unevenness of the characteristics of
different optimization problems no method gives consistent performance over
real world problems. The search operators are the heart of Genetic algorithm.
In this paper we used a new multi-parent crossover in addition with diversity
factor instead of mutation operator and also maintain an archive pool for best
effectiveness and robustness of the proposed method was tested on IEEE 30 bus
test system with different objective functions like minimization of fuel cost
and voltage profile improvement. The results obtained with the proposed method
are compared with the methods which were included in the literature.
Keywords – Optimal power flow (OPF), Genetic
Algorithm, Multi Parent Crossover (MPC).
InternationaleJournal of Mathematical Sciences, Technology and Humanities
Issue 2, Pages: 50 - 60