Sensing and Estimation Techniques in Electrical Systems
A special issue of Sensors (ISSN 1424-8220). This special issue belongs to the section "Physical Sensors".
Deadline for manuscript submissions: 31 August 2026 | Viewed by 49
Special Issue Editors
Interests: DC/DC converter; dc-dc power converters; photovoltaic systems; mathematical model control systems; partial shading
Interests: photovoltaics; modelling; control; power electronics; diagnostics; photovoltaic systems; microgrids; renewable energy systems
Special Issue Information
Dear Colleagues,
Electrical and power systems include a large variety of subsystems, such as switching converters, electrical generators, transformers, and transmission and distribution systems, among many others. Those applications require sensing, estimating, or observing relevant physical quantities for control, diagnostic, monitoring, and protection purposes.
For example, switching converters require high-frequency measurements for control purposes, e.g., inductor currents for sliding-mode control, which can be difficult and costly. Similarly, the measurement of the photovoltaic current and voltage is needed for maximum power extraction and diagnosis, but the large number of sensors introduce high costs or connection complexity. In batteries, mathematical models, filters, and machine learning are used to estimate the State of Charge (SoC) and State of Health (SoH), which are used for charging/discharging strategies that increase performance and extend battery life. Moreover, in electric systems the estimation of the power grid state is a complex task that requires multiple voltage and current measurements and more complex sensors, like Phasor Measurement Units (PMUs), along with estimation algorithms. Other difficult or costly variables to measure are high currents and voltages, the frequency response of device impedance, magnetic flux, torque, solar irradiance, and wind speed, among many others.
Therefore, this Special Issue is focused on devices and techniques designed to improve the sensing, estimation, or observation of variables needed in electrical and power systems. Such improvement is not necessarily constrained to better data quality, but also to reduced costs, lower complexity, and higher speed, among other performance criteria.
Prof. Dr. Carlos Andrés Ramos-Paja
Dr. Juan David Bastidas-Rodríguez
Dr. Sergio Serna
Guest Editors
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Keywords
- measurement devices for electrical and power systems
- sensing and estimation techniques for electrical or electro/mechanical variables used in power systems
- cost reduction using mixed-estimators/sensors strategies
- estimation or observation of physical variables for electrical systems using artificial intelligence or deterministic approaches
- detailed mathematical models for variable estimation in electrical or power systems
- impedance spectroscopy in electrical and power systems
- embedded systems for measurement and estimation
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