Distribution load flow analysis in a microgrid

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 requir...

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Bibliographic Details
Main Authors: Padmini, S., Subhasharmini, Mondal, Dhiman
Format: Conference Proceeding
Language:English
Subjects:
Algorithms
Animals
Computer networks
Computer storage devices
Distributed generation
Distribution management
Electric vehicles
Electrical loads
Energy sources
Energy storage
Fission
Iterative methods
Monkeys
Optimization
Renewable energy
Renewable resources
Social structure
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Summary: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.
ISSN:0094-243X
1551-7616
DOI:10.1063/5.0164598