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Event-Triggered Transmission of Sensor Measurements Using Twin Hybrid Filters for Renewable Energy Resource Management Systems

Author

Listed:
  • Soonwoo Lee

    (Power ICT Research Center, Korea Electrotechnology Research Institute, Ansan 15588, Republic of Korea)

  • Hui-Myoung Oh

    (Power ICT Research Center, Korea Electrotechnology Research Institute, Ansan 15588, Republic of Korea)

  • Jung Min Pak

    (Department of Artificial Intelligence, Korea National University of Transportation, Uiwang 16106, Republic of Korea)

Abstract

Recently, solar and wind power generation have gained attention as pathways to achieving carbon neutrality, and Renewable Energy Resource Management System (RERMS) technology has been developed to monitor and control small-scale, distributed renewable energy resources. In this work, we present an Event-Triggered Transmission (ETT) algorithm for RERMS, which transmits sensor measurements to the base station only when necessary. The ETT algorithm helps prevent congestion in the communication channel between RERMS and the base station, avoiding time delays or packet loss caused by the excessive transmission of sensor measurements. We design a hybrid state estimation algorithm that combines Kalman and Finite Impulse Response (FIR) filters to enhance the estimation performance, and we propose a new ETT algorithm based on this design. We evaluate the performance of the proposed algorithm through experiments that transmit actual sensor measurements from a photovoltaic power generation system to the base station, demonstrating that it outperforms existing algorithms.

Suggested Citation

  • Soonwoo Lee & Hui-Myoung Oh & Jung Min Pak, 2024. "Event-Triggered Transmission of Sensor Measurements Using Twin Hybrid Filters for Renewable Energy Resource Management Systems," Energies, MDPI, vol. 17(22), pages 1-18, November.
    • Handle: RePEc:gam:jeners:v:17:y:2024:i:22:p:5651-:d:1519158
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    References listed on IDEAS

    as
    1. Hussein M. Maghrabie & Abdul Ghani Olabi & Ahmed Rezk & Ali Radwan & Abdul Hai Alami & Mohammad Ali Abdelkareem, 2023. "Energy Storage for Water Desalination Systems Based on Renewable Energy Resources," Energies, MDPI, vol. 16(7), pages 1-34, March.
    2. Reza Jalilzadeh Hamidi & Ailin Asadinejad, 2024. "Improvement of Economic Integration of Renewable Energy Resources through Incentive-Based Demand Response Programs," Energies, MDPI, vol. 17(11), pages 1-16, May.
    3. Aras Ghafoor & Jamal Aldahmashi & Judith Apsley & Siniša Djurović & Xiandong Ma & Mohamed Benbouzid, 2024. "Intelligent Integration of Renewable Energy Resources Review: Generation and Grid Level Opportunities and Challenges," Energies, MDPI, vol. 17(17), pages 1-29, September.
    4. Alaa Alaerjan, 2023. "Automatic Recognition of Beam Attachment for Massive MIMO System in Densely Distributed Renewable Energy Resources," Sustainability, MDPI, vol. 15(11), pages 1-19, May.
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