Deployment of wireless sensor network in dispersed renewable energy sources for increasing efficiency of power distribution networks

Theodoros A. Tsiftsis, Paschalis C. Sofotasios, Nick Papanikolaou, Michael I. Loupis

Research output: Contribution to journalArticlepeer-review

6 Scopus citations


In this work, a novel performance analysis method for evaluating the robustness of emerging power distribution networks (PDNs), which involve deployable renewable energy sources, is proposed. This is realized with the aid of the outage probability (OP) criterion in the context of cooperative communications, which is widely considered in modern wireless communication systems. The main usefulness of this method is that it allows the involved components to communicate to each-other by means of a robust and flexible wireless sensor network architecture. In this context, any conventional medium voltage (MV) bus of the PDN is represented as a wireless relay node where data signals gathered from each MV bus can be forwarded reliably to a control station for the subsequent processing. The received signals at wireless nodes are decoded and then forwarded to ensure minimal errors and maximal robustness at the receiving site. The considered OP analysis denotes the probability that the power of a received information signal drops below a pre-defined threshold which satisfies the acceptable Quality of Service requirements of a reliable signal reception. To this end, simple closed-form expressions are proposed for the OP of a regenerative cooperative-based PDN in the presence of various multipath fading effects, which degrade information signals during wireless transmission. The offered results are rather simple and provide meaningful insights for the design and deployment of smart grid systems.

Original languageBritish English
Pages (from-to)610-618
Number of pages9
JournalJournal of Modern Power Systems and Clean Energy
Issue number4
StatePublished - Dec 2015


  • Cooperative communications (CCs)
  • Outage probability
  • Power distribution network (PDN)
  • Renewable energy source (RES)
  • Smart grid
  • Wireless sensor network (WSN)


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