Least mean square fourth based microgrid state estimation algorithm using the internet of things technology

PLoS One. 2017 May 1;12(5):e0176099. doi: 10.1371/journal.pone.0176099. eCollection 2017.

Abstract

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.

MeSH terms

  • Algorithms*
  • Computer Simulation
  • Internet
  • Least-Squares Analysis
  • Models, Theoretical*
  • Renewable Energy*
  • Wireless Technology

Grants and funding

The author received no specific funding for this work.