Developing Control and Measurement Algorithms for Electrical Power Systems

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

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 250 words) can be sent to the Editorial Office for assessment.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Energies is an international peer-reviewed open access semimonthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2600 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.