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

Soonwoo Lee, Hui-Myoung Oh () and Jung Min Pak ()
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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

Energies, 2024, vol. 17, issue 22, 1-18

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.

Keywords: event-triggered transmission; finite impulse response filter; Kalman filter; renewable energy resource management system (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2024
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