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Mechanical Energy Harvesting and Self-Powered Sensors

A special issue of Sensors (ISSN 1424-8220). This special issue belongs to the section "Internet of Things".

Deadline for manuscript submissions: 1 October 2025 | Viewed by 769

Special Issue Editor


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Guest Editor
Department of Mechanical and Aerospace Engineering, Hong Kong University of Science and Technology, Hong Kong, China
Interests: advanced manufacturing; energy harvesting; piezoelectric materials; vibration; flexible electronics; wireless sensor

Special Issue Information

Dear Colleagues,

With the rapid advances in wireless sensors, implantable electronics, and wearable devices, the demand for power sources with a high power density and a long lifespan is becoming increasingly greater. Energy harvesting, emerging as an alternative energy solution to batteries, holds great potential to achieve self-powered autonomous operations of such low-power electronic devices and thus has recently attracted much attention from both academia and industry. This Special Issue will focus on this new technology and report on new academic endeavors.

Dr. Zhengbao Yang
Guest Editor

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Keywords

  • energy harvesting
  • piezoelectric materials
  • wireless power transfer
  • vibration
  • flexible electronics
  • smart materials

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Published Papers (1 paper)

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Research

18 pages, 6987 KiB  
Article
Modeling of Measuring Transducers for Relay Protection Systems of Electrical Installations
by Iliya Iliev, Andrey Kryukov, Konstantin Suslov, Nikolay Kodolov, Aleksandr Kryukov, Ivan Beloev and Yulia Valeeva
Sensors 2025, 25(2), 344; https://doi.org/10.3390/s25020344 - 9 Jan 2025
Viewed by 540
Abstract
The process of establishing relay protection and automation (RPA) settings for electric power systems (EPSs) entails complex calculations of operating modes. Traditionally, these calculations are based on symmetrical components, which require the building of equivalent circuits of various sequences. This approach can lead [...] Read more.
The process of establishing relay protection and automation (RPA) settings for electric power systems (EPSs) entails complex calculations of operating modes. Traditionally, these calculations are based on symmetrical components, which require the building of equivalent circuits of various sequences. This approach can lead to errors both when identifying the operating modes and when modeling the RPA devices. Proper modeling of measuring transformers (MTs), symmetrical component filters (SCFs), and circuits connected to them effectively solves this problem, enabling the configuration of relay protection and automation systems. The methods of modeling the EPS in phase coordinates are proposed to simultaneously determine the operating modes of high-voltage networks and secondary circuits connected to the current and voltage transformers. The MT and SCF models are developed to concurrently identify the operating modes of secondary wiring circuits and calculate the power flow in the controlled EPS segments. This method is effective in addressing practical problems related to the configuration of the relay protection and automation systems. It can also be used when establishing cyber–physical power systems. For a comprehensive check of the adequacy of the MT models, 140 modes of the electric power system were determined which corresponded to time-varying traction loads. Based on the results of calculating the complexes of currents and voltages at the MT terminals, parametric identification of the power transmission line was performed. Based on this, the model of this transmission line was adjusted; repeated modeling was carried out, and errors were calculated. The modeling results showed a high accuracy when calculating the modules and phases of voltages using the identified model. The average error value for current modules was 0.6%, and for angles, it was 0.26°. Full article
(This article belongs to the Special Issue Mechanical Energy Harvesting and Self-Powered Sensors)
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