Open AccessLeast mean square fourth based microgrid state estimation algorithm using the internet of things technology
Author(s) -
Masud Rana
Publication year - 2017
Publication title -
plos one
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.99
H-Index - 332
ISSN - 1932-6203
DOI - 10.1371/journal.pone.0176099
Subject(s) - microgrid , network packet , computer science , algorithm , internet of things , wireless sensor network , the internet , wireless , square (algebra) , state space , renewable energy , state (computer science) , mean squared error , packet loss , computer network , telecommunications , mathematics , engineering , electrical engineering , computer security , statistics , geometry , world wide web
This paper proposes an innovative internet of things (IoT) based communication framework for monitoring microgrid under the condition of packet dropouts in measurements. First of all, the microgrid incorporating the renewable distributed energy resources is represented by a state-space model. The IoT embedded wireless sensor network is adopted to sense the system states. Afterwards, the information is transmitted to the energy management system using the communication network. Finally, the least mean square fourth algorithm is explored for estimating the system states. The effectiveness of the developed approach is verified through numerical simulations.