Hybrid Approach with Combining Cuckoo-Search and Grey-Wolf Optimizer for Solving Optimal Power Flow Problems

An electrical power system is a vast interlocked network that needs a vigilant design to sustain the system with an uninterrupted power flow operation without any restrictions, called optimal power flow (OPF). OPF problem requires robust and fast optimization techniques to volve it due to its complexity. Cuckoo Search (CS) is one method that is being applied in OPF problems, and it has many advantages, e.g., ease use and littler tuning parameters. But it is not good enough, falling into local optimal resolutions and slow converges. Therefore, recently developed Grey Wolf Optimization (GWO) algorithm is used to solve OPF, but it has low accuracy and inadequate local searching ability. To overcome these problems, this paper proposed to combine CS with GWO to create a novel the Hybrid algorithm, called here HCSGWO. The main objective is to deduce the emission, true power generation cost, true power losses, and voltage stability, being a multi-objective problem. THCSGWO are validated by solving the OPF problem considering the calssic IEEE57 bus system. The results are compared with GWO and other algorithms employed in the literature.