抽象的

OPTIMAL POWER FLOW USING CUCKOO OPTIMIZATION ALGORITHM

M.RamaMohana Rao, A.V.Naresh Babu

This paper presents an efficient and reliable evolutionary-based approach to obtain optimal power flow (OPF) problem solution. The approach employs a nature inspired meta heuristic optimization algorithm called cuckoo optimization algorithm (COA) to determine the optimal settings of control variables. The performance of the COA is examined and tested on IEEE 14 bus test system with fuel cost minimization as objective function. The results demonstrate the potential of the COA shows its effectiveness and robustness to solve the OPF problem.