relation: https://khub.utp.edu.my/scholars/15491/
title: Smart Microgrid QoS and Network Reliability Performance Improvement using Reinforcement Learning
creator: Singh, N.
creator: Elamvazuthi, I.
creator: Nallagownden, P.
creator: Badruddin, N.
creator: Ousta, F.
creator: Jangra, A.
description: A Smart Microgrid consists of physical and communication layered networks. It provides communication services to each connected component and resource through multi-agent system. This paper proposes a reinforcement learning based methodology, Q-reinforcement Learning based Multi-agent based Bellmanford Routing (QRL-MABR), using multiple agents communicating over the microgrid network. It strengthens the decision-making core of the microgrid by improving Quality of service and network reliability of the smart microgrid. The performance analysis of the algorithm is tested over small-scale IEEE microgrid models i.e. IEEE 9 and IEEE 14. The work is tested and compared with four routing oriented decision-making algorithms, Open shortest path first (OSPF), Optimized link state routing (OLSR), Routing information protocol (RIP) and Multi-agent based Bellmanford routing (MABR). The results validate the productivity and learning capabilities of the proposed QRL-MABR algorithm. © 2021 IEEE.
publisher: Institute of Electrical and Electronics Engineers Inc.
date: 2021
type: Conference or Workshop Item
type: PeerReviewed
identifier:   Singh, N. and Elamvazuthi, I. and Nallagownden, P. and Badruddin, N. and Ousta, F. and Jangra, A.  (2021) Smart Microgrid QoS and Network Reliability Performance Improvement using Reinforcement Learning.  In: UNSPECIFIED.     
relation: https://www.scopus.com/inward/record.uri?eid=2-s2.0-85124122304&doi=10.1109%2fICIAS49414.2021.9642596&partnerID=40&md5=9e9acf69b67deadb43bd568a208b166b
relation: 10.1109/ICIAS49414.2021.9642596
identifier: 10.1109/ICIAS49414.2021.9642596