Learning Automata-Based Methodology for Optimal Allocation of Renewable Distributed Generation Considering Network Reconfiguration

Learning Automata-Based Methodology for Optimal Allocation of Renewable Distributed Generation Considering Network Reconfiguration

The inadequate capacity of distribution networks to consume renewable energy and the inappropriate allocation of renewable distributed generation (RDG) have become important issues. In this paper, a 3-level learning automata-based methodology in a master-slave structure is proposed for optimal RDG s...

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Bibliographic Details
Main Authors: Junpeng Zhu, Wei Gu, Guannan Lou, Liufang Wang, Bin Xu, Ming Wu, Wanxing Sheng
Format: Article
Language:English
Published: IEEE 2017-01-01
Series:IEEE Access
Subjects:
Distributed generation allocation
network reconfiguration
learning automata
renewable energy
active distribution network
Online Access:https://ieeexplore.ieee.org/document/7990131/

Internet

https://ieeexplore.ieee.org/document/7990131/

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