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Implementation of Dynamic Controls for Grid-Tied-Inverters through Next-Generation Smart Meters and Its Application in Modernized Grid

Author

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  • Navonita Sharma

    (Electrical Engineering Department, NIT Agartala, Agartala 799046, India)

  • Ajoy Kumar Chakraborty

    (Electrical Engineering Department, NIT Agartala, Agartala 799046, India)

Abstract

In this paper, an introduction and comprehensive analysis have been presented for the implementation and application of modern smart meters which include U nbundled S mart M eters (USM) and N ext-Generation O pen R eal-Time Smart M eters (NORM). This article also contributes to methods through which USM and NORM could provide a better perspective to the already available technologies for grid-tied-inverter controlled feeding renewables to the grid. The research proposes a next-generation smart meter model with the feature of a phasor measurement unit. The meter is further integrated with a controller board that controls the power injection from the inverter to the grid based on the real-time data obtained from the smart meter. The inverter is simulated with an open-circuit fault and is controlled to provide non-oscillatory power to the grid based on an instantaneous grid power factor or phase requirement. The proposed meter has the flexibility to add additional features to control the inverter based on other grid requirements such as active and reactive power control, tariff implementation, etc. This manuscript provides the analytical aspects of the use of smart meters in efficient energy management and also addresses the need for smart technologies for grid modernization.

Suggested Citation

  • Navonita Sharma & Ajoy Kumar Chakraborty, 2022. "Implementation of Dynamic Controls for Grid-Tied-Inverters through Next-Generation Smart Meters and Its Application in Modernized Grid," Energies, MDPI, vol. 15(3), pages 1-14, January.
    • Handle: RePEc:gam:jeners:v:15:y:2022:i:3:p:988-:d:737353
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    References listed on IDEAS

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    1. Schleicher-Tappeser, Ruggero, 2012. "How renewables will change electricity markets in the next five years," Energy Policy, Elsevier, vol. 48(C), pages 64-75.
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    1. Ru-Guan Wang & Wen-Jen Ho & Kuei-Chun Chiang & Yung-Chieh Hung & Jen-Kuo Tai & Jia-Cheng Tan & Mei-Ling Chuang & Chi-Yun Ke & Yi-Fan Chien & An-Ping Jeng & Chien-Cheng Chou, 2023. "Analyzing Long-Term and High Instantaneous Power Consumption of Buildings from Smart Meter Big Data with Deep Learning and Knowledge Graph Techniques," Energies, MDPI, vol. 16(19), pages 1-24, September.

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