Journal Press India^®

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This paper presents an efficient and reliable a swarm-Intelligence based algorithm and bio-Inspired algorithm approach to unconstraint obtain optimal power flow (OPF) problem solution. This approach employs a nature inspired meta-heuristics optimization algorithm such as improved cuckoo search algorithm to determine the optimal setting of control variable. The performance of the improved cuckoo search algorithm (ICS) is examined and tested on IEEE 30 bus test system with objective function is minimization of fuel cost. The solution is done using MATLAB software.

Keywords

Optimal Power Flow; Optimization techniques; cuckoo search; Fuel Cost; Power system.

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