Artificial bee colony optimization for modelling of indoor PLC channels: A case study from Turkey

DEVELİ I., Kabalcı Y., BAŞTÜRK A.

ELECTRIC POWER SYSTEMS RESEARCH, cilt.127, ss.73-79, 2015 (SCI-Expanded) identifier identifier

  • Yayın Türü: Makale / Tam Makale
  • Cilt numarası: 127
  • Basım Tarihi: 2015
  • Doi Numarası: 10.1016/j.epsr.2015.05.021
  • Dergi Adı: ELECTRIC POWER SYSTEMS RESEARCH
  • Derginin Tarandığı İndeksler: Science Citation Index Expanded (SCI-EXPANDED), Scopus
  • Sayfa Sayıları: ss.73-79
  • Anahtar Kelimeler: Power line communications, Artificial bee colony algorithm, Channel measurement, Modelling, POWER-LINE COMMUNICATION, NEURAL-NETWORKS, PART II, 100 MHZ, ALGORITHM, FREQUENCY, TRANSMISSION, REDUCTION, CABLE
  • Erciyes Üniversitesi Adresli: Evet

Özet

In this study, a channel model which is based on practical channel measurements obtained from electrical networks in Turkey is proposed for power line communication (PLC) systems. Experimental measurements are realized in different cities and various indoor places such as laboratory, university office and apartment house in order to achieve a general and appropriate PLC channel model for different locations and environments. Acquired data from the electric grid are stored on a database and PLC channel modelling process is carried out depending on these data through curve fitting methods. Moreover, parameters of the derived mathematical model are optimized by using artificial bee colony algorithm. Results show that the PLC channel model proposed in this study can be utilized to simulate PLC systems and to perform conformance tests of prototypes. (C) 2015 Elsevier B.V. All rights reserved.

In this study, a channel model which is based on practical channel measurements obtained from electrical networks in Turkey is proposed for power line communication (PLC) systems. Experimental measurements are realized in different cities and various indoor places such as laboratory, university office and apartment house in order to achieve a general and appropriate PLC channel model for different locations and environments. Acquired data from the electric grid are stored on a database and PLC channel modelling process is carried out depending on these data through curve fitting methods. Moreover, parameters of the derived mathematical model are optimized by using artificial bee colony algorithm. Results show that the PLC channel model proposed in this study can be utilized to simulate PLC systems and to perform conformance tests of prototypes.