An analysis of optimal power flow strategies for a power network incorporating stochastic renewable energy resources

An optimal power management solution is a potential tool to produce cost-effective and environmentally friendly supply using renewable energy sources (RESs) for the electrical network. Therefore, article introduces novel optimization algorithm inspired by vitality, namely, Manta Ray Foraging Optimization (MRFO), figure out both multi- single-objective problems of flow (OPF) incorporating stochastic RES. The OPF are designed considering four different objective functions: transmission loss, emission index, fuel operational costs, voltage deviation. volatile nature RES increases complexity issue. In this study, new MRFO some modern metaheuristic algorithms were used settle issue OPF, enhance efficiency, environmental cost performance test cases, with without RES, locations on network, increase in load, outages lines, considered addressing challenge proposed OPF. These cases tested bus systems as 30 118, outcome from suggested compared six algorithms. Moreover, challenges successfully settled outperform methods.