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

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 Ev...

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Bibliographic Details
Published in:Energies (Basel) 2024-11, Vol.17 (22), p.5651
Main Authors: Lee, Soonwoo, Oh, Hui-Myoung, Pak, Jung Min
Format: Article
Language:English
Subjects:
Accuracy
Algorithms
Communication
Energy consumption
Energy use
event-triggered transmission
finite impulse response filter
Kalman filter
Measuring instruments
renewable energy resource management system
Renewable resources
Resource management
Sensors
Signal processing
Variables
Wind power
Wireless telecommunications equipment
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Summary: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.
ISSN:1996-1073
1996-1073
DOI:10.3390/en17225651