Solution of optimal power flow using chaotic krill herd algorithm

• CKHA algorithm is applied for the solution of OPF problems.
• CKHA is implemented on standard 26-bus and IEEE 57-bus test systems.
• Three different objective functions are considered.
• The CKHA based results are compared to other algorithms recently reported.
• Effectiveness of CKHA is established for OPF problems of power system.

Recently, krill herd algorithm (KHA) is proposed for the solution of global optimization problem. Various chaotic maps are considered in the proposed chaotic KHA (CKHA) of the present work to improve the performance of basic KHA method. It is observed that Logistic map based CKHA offers better results as compared other chaotic maps. The performance of the proposed CKHA is tested on standard 26-bus and IEEE 57-bus test power systems for the solution of optimal power flow of power system with different objectives that reflect minimization of fuel cost or active power loss or sum of total voltage deviation. Results obtained by using CKHA are compared to other evolutionary optimization techniques surfaced in the recent state-of-the-art literature. The results presented in this paper show that the proposed CKHA algorithm outperforms the other techniques in terms of convergence rate and global search ability.