Optimal Power Flow by Using New Multi Parent Crossover

Krishna Aitha1 and V. Sunil Kumar2

Department of EEE, St.Martin’s Engineering College, Hyderabad, T.S.
St.Martin’s Engg.College, Hyderabad, T.S,  e-Mail:

2St.Martin’s Engg.College, Hyderabad, T.S, e-Mail:


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 solutions.

  The 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

Volume 5, Issue 2, Pages:  50 - 60