Adaptive quantum-inspired evolutionary algorithm for optimizing power losses by dynamic load allocation on distributed generators

Adaptive quantum-inspired evolutionary algorithm for optimizing power losses by dynamic load allocation on distributed generators

In this paper, an Adaptive Quantum-inspired Evolutionary Algorithm (AQiEA) has been applied for minimizing the power losses in the distribution network by suitable placement, sizing and subsequent allocation of load on Distributed Generators (DG) for a varying load with a time horizon of...

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Bibliographic Details
Main Authors: Manikanta Gopisetti, Mani Ashish, Singh Hemender Pal, Chaturvedi Devendra Kumar
Format: Article
Language:English
Published: Faculty of Technical Sciences in Cacak 2019-01-01
Series:Serbian Journal of Electrical Engineering
Subjects:
distributed generators
twenty-four-hour load
power losses
dynamicload allocation
entanglement & measurement operator
ieee 33&69 bus system
Online Access:http://www.doiserbia.nb.rs/img/doi/1451-4869/2019/1451-48691903325M.pdf

Internet

http://www.doiserbia.nb.rs/img/doi/1451-4869/2019/1451-48691903325M.pdf

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