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Reliability Monitoring Based on Higher-Order Statistics: A Scalable Proposal for the Smart Grid

Author

Listed:
  • Olivia Florencias-Oliveros

    (Research Group PAIDI-TIC-168, Computational Instrumentation and Industrial Electronics (ICEI), Area of Electronics, University of Cádiz, Higher Polytechnic School, Av. Ramón Puyol S/N, E-11202 Algeciras, Spain
    These authors contributed equally to this work.)

  • Juan-José González-de-la-Rosa

    (Research Group PAIDI-TIC-168, Computational Instrumentation and Industrial Electronics (ICEI), Area of Electronics, University of Cádiz, Higher Polytechnic School, Av. Ramón Puyol S/N, E-11202 Algeciras, Spain
    These authors contributed equally to this work.)

  • Agustín Agüera-Pérez

    (Research Group PAIDI-TIC-168, Computational Instrumentation and Industrial Electronics (ICEI), Area of Electronics, University of Cádiz, Higher Polytechnic School, Av. Ramón Puyol S/N, E-11202 Algeciras, Spain
    These authors contributed equally to this work.)

  • José-Carlos Palomares-Salas

    (Research Group PAIDI-TIC-168, Computational Instrumentation and Industrial Electronics (ICEI), Area of Electronics, University of Cádiz, Higher Polytechnic School, Av. Ramón Puyol S/N, E-11202 Algeciras, Spain
    These authors contributed equally to this work.)

Abstract

The increasing development of the smart grid demands reliable monitoring of the power quality at different levels, introducing more and more measurement points. In this framework, the advanced metering infrastructure must deal with this large amount of data, storage capabilities, improving visualization, and introducing customer-oriented interfaces. This work proposes a method that optimizes the smart grid data, monitoring the real voltage supplied based on higher order statistics. The method proposes monitoring the network from a scalable point of view and offers a two-fold perspective based on the duality utility-prosumer as a function of the measurement time. A global PQ index and 2D graphs are introduced in order to compress the time domain information and quantify the deviations of the waveform shape by means of three parameters. Time-scalability allows two extra features: long-term supply reliability and power quality in the short term. As a case study, the work illustrates a real-life monitoring in a building connection point, offering 2D diagrams, which show time and space compression capabilities, as well.

Suggested Citation

  • Olivia Florencias-Oliveros & Juan-José González-de-la-Rosa & Agustín Agüera-Pérez & José-Carlos Palomares-Salas, 2018. "Reliability Monitoring Based on Higher-Order Statistics: A Scalable Proposal for the Smart Grid," Energies, MDPI, vol. 12(1), pages 1-14, December.
    • Handle: RePEc:gam:jeners:v:12:y:2018:i:1:p:55-:d:193091
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