According to recent study, future power networks will experience a significant increase in renewable energy–based Distributed Generation (DG). Actions taken by the DG and the Distribution Management System (DMS) can have a direct impact. The examination of every electrical distribution system requires a distributed load flow (DFL) analysis. Microgrid is modelled in a non-isolated mode with renewable energy resources, distributed energy storage devices are employed as backup, electric vehicles are used as both controlled and uncontrolled loads, and DG is connected under complete block out. The usual load flow methods cannot be used to find the line flows and voltages because the defined network is a distributed system. In this study, spider monkeys’ social behavior is used to offer a new strategy to optimization. Animals having a fission-fusion social structure are known as spider monkeys. The sophisticated foraging behavior of animals with a fission-fusion social structure served as inspiration. SMO is a collaborative iterative trial and error technique, like the other population-based algorithms.
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