Turbulent Flow of Water-Based Optimization for Solving Multi-Objective Technical and Economic Aspects of Optimal Power Flow Problems

The optimal operation of modern power systems aims at achieving the increased demand requirements regarding economic and technical aspects. Another concern is preserving emissions within environmental limitations. In this regard, paper finding scheduling generation units that are able to meet load based on a multi-objective flow framework. proposed framework, objective functions, economical, considered. solution methodology performed developed turbulent water-based optimizer (TFWO). Single functions employed minimize cost fuel, emission level, losses, enhance voltage deviation, stability index. algorithm tested investigated IEEE 30-bus 57-bus systems, 17 cases studied. Four additional studied applied four large scale test prove high scalability methodology. Evaluation effectiveness robustness TFWO proven through comparison simulation results, convergence rate, statistical indices other well-known recent algorithms in literature. We concluded from current study efficient, effective, robust, superior solving OPF optimization problems. It has better rates compared with significant economical improvements. A reduction range 4.6–33.12% achieved by for system. For system, leads more competitive improvement techno-economic