Developing Control and Measurement Algorithms for Electrical Power Systems
A special issue of Energies (ISSN 1996-1073). This special issue belongs to the section "F1: Electrical Power System".
Deadline for manuscript submissions: closed (31 December 2023) | Viewed by 17492
Special Issue Editor
Interests: measurement and data analysis; mathematical modeling of measurement systems; signal processing; sensors calibration; electrical measurement of nonelectrical quantities; uncertainties in measurement; dynamic error
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
An electrical power system is a distributed network consisting of three main aspects: generation, transmission, and distribution. Its structure includes a significant number of electrical machines and devices, power lines and stations, electricity receivers, control devices, and measurement systems.
To ensure mutual co-action and suitable levels of accuracy of the specific components of the electrical power system, appropriate algorithms for control and measurement are required. These algorithms are based on the latest scientific achievements in the fields of analog and digital signal processing, control theory, modern metrology, and artificial intelligence methods. They not only allow for proper control of the electrical power system but also the implementation and proper interpretation of measurements of both electrical and non-electrical quantities. This contributes to ensuring the reliability of the entire electrical power system, as well as the supply of electricity of appropriate quality to receivers, both individuals and entrepreneurs.
This Special Issue invites contributions on the topic of new control and measurement algorithms intended for electrical power systems. In particular, scientists are encouraged to present new solutions for electrical power systems based on the use of advanced tools and computational techniques in the fields of digital processing of electrical signals, artificial intelligence methods, and control theory, and to present the results of measurements and an analysis of the corresponding uncertainties.
To ensure a clear presentation of the proposed solutions, it is necessary to describe the corresponding state of the art, and to carry out a detailed review of the relevant literature. It is also desirable that the proposed control and measurement algorithms be validated based on experimental or simulation data. In order to emphasize the practical value of the proposed solution, a discussion of the possible real-world applications and further developments are welcome.
Prof. Dr. Krzysztof Tomczyk
Guest Editor
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Keywords
- artificial intelligence
- computational algorithm
- control algorithm
- control system
- data analysis
- data acquisition
- decision algorithm
- devices for electrical power systems
- digital signal processing
- distributed computing
- distributed system
- electric power quality
- electrical quantity
- errors in electrical power systems
- evolutionary algorithm
- fuzzy logic
- genetic algorithm
- measurement algorithm
- measurement system
- measurement technique
- measuring instrument
- nonelectrical quantity
- optimization of electrical power system
- precision measurement
- signal distortion
- signal reproduction
- special algorithms
- time-frequency analysis
- uncertainty analysis
- validation of computational algorithms
- wavelet analysis
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