Utilization of adaptable robust optimization for solving the non-smooth and the non-convex problem of multi-zone economic power flow

Abstract A state-of-the-art simple technique is applied in this study which solves the multi-zone economic power flow (MZEPF) problems. Tie trunk limitations, power loss in the transmission line, valve point phenomenon, multi-fuel, and forbidden areas including large, average and small-scale examination systems are then solved in MZEPF problems. The method of dealing with the problems is the adaptable robust optimization and can be used in solving non-convex and unsmooth MZEPF problems. Furthermore, a novel uncomplicated technique is applied to deal with the intercommunication between zones. The purpose is to provide needed loads economically in all zones obeying all the limitations. Through utilization of adaptable robust optimization algorithm, the convergence rate and the reliability have been optimized. The calculated outcomes on large, average and small-scale examination systems show the efficiency of the suggested algorithm considering precision, convergence rate and reliability. The achieved outcomes of the suggested adaptable robust optimization algorithm have been examined in contrast with the achieved techniques from some famous techniques. The outcomes show the efficiency of the suggested approach to present an improved result.

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