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Design, Implementation, and Evaluation of Open Power Quality

Author

Listed:
  • Anthony J. Christe

    (Department of Information and Computer Sciences, University of Hawaii at Manoa, Honolulu, HI 96822, USA)

  • Sergey Negrashov

    (Department of Information and Computer Sciences, University of Hawaii at Manoa, Honolulu, HI 96822, USA)

  • Philip M. Johnson

    (Department of Information and Computer Sciences, University of Hawaii at Manoa, Honolulu, HI 96822, USA)

Abstract

Modern electrical grids are transitioning from a centralized generation architecture to an architecture with significant distributed, intermittent generation. This transition means that the formerly sharp distinction between energy producers (utility companies) and consumers (residences, businesses, etc.) are blurring: end-users both produce and consume energy, making energy management and public policy more complex. The goal of the Open Power Quality (OPQ) project is to design and implement a low cost, distributed power quality sensor network that provides useful new forms of information about modern electrical grids to producers, consumers, researchers, and policy makers. In 2019, we performed a pilot study involving the deployment of an OPQ sensor network at the University of Hawaii microgrid for three months. Results of the pilot study validate the ability of OPQ to collect accurate power quality data in a way that provides useful new insights into electrical grids.

Suggested Citation

  • Anthony J. Christe & Sergey Negrashov & Philip M. Johnson, 2020. "Design, Implementation, and Evaluation of Open Power Quality," Energies, MDPI, vol. 13(15), pages 1-25, August.
    • Handle: RePEc:gam:jeners:v:13:y:2020:i:15:p:4032-:d:394380
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    References listed on IDEAS

    as
    1. Eduardo Viciana & Alfredo Alcayde & Francisco G. Montoya & Raul Baños & Francisco M. Arrabal-Campos & Antonio Zapata-Sierra & Francisco Manzano-Agugliaro, 2018. "OpenZmeter: An Efficient Low-Cost Energy Smart Meter and Power Quality Analyzer," Sustainability, MDPI, vol. 10(11), pages 1-13, November.
    2. Rita Pinto & Sílvio Mariano & Maria Do Rosário Calado & José Felippe De Souza, 2016. "Impact of Rural Grid-Connected Photovoltaic Generation Systems on Power Quality," Energies, MDPI, vol. 9(9), pages 1-15, September.
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    1. Yonghai Xu & Xingguan Fan & Siying Deng & Chunhao Niu, 2021. "A Voltage Sag Severity Evaluation Method for the System Side Which Considers the Influence of the Voltage Tolerance Curve and Sag Type," Energies, MDPI, vol. 14(16), pages 1-22, August.

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