An Elastic Energy Management Algorithm in a Hierarchical Control System with Distributed Control Devices

Piotr Powroźnik, Paweł Szcześniak, Krzysztof Turchan, Miłosz Krysik, Igor Koropiecki and Krzysztof Piotrowski
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Piotr Powroźnik: Institute of Metrology, Electronics and Computer Science, University of Zielona Gora, 65-516 Zielona Gora, Poland
Paweł Szcześniak: Institute of Automatic Control, Electronics and Electrical Engineering, University of Zielona Gora, 65-516 Zielona Gora, Poland
Krzysztof Turchan: IHP—Leibniz Institute for High Performance Microelectronics, 15236 Frankfurt (Oder), Germany
Miłosz Krysik: IHP—Leibniz Institute for High Performance Microelectronics, 15236 Frankfurt (Oder), Germany
Igor Koropiecki: IHP—Leibniz Institute for High Performance Microelectronics, 15236 Frankfurt (Oder), Germany
Krzysztof Piotrowski: IHP—Leibniz Institute for High Performance Microelectronics, 15236 Frankfurt (Oder), Germany

Energies, 2022, vol. 15, issue 13, 1-24

Abstract: In modern Electric Power Systems, emphasis is placed on the increasing share of electricity from renewable energy sources (PV, wind, hydro, etc.), at the expense of energy generated with the use of fossil fuels. This will lead to changes in energy supply. When there is excessive generation from RESs, there will be too much energy in the system, otherwise, there will be a shortage of energy. Therefore, smart devices should be introduced into the system, the operation of which can be initiated by the conditions of the power grid. This will allow the load profiles of the power grid to be changed and the electricity supply to be used more rationally. The article proposes an elastic energy management algorithm (EEM) in a hierarchical control system with distributed control devices for controlling domestic smart appliances (SA). In the simulation part, scenarios of the algorithm’s operation were carried out for 1000 households with the use of the distribution of activities of individual SAs. In experimental studies, simplified results for three SA types and 100 devices for each type were presented. The obtained results confirm that, thanks to the use of SAs and the appropriate algorithm for their control, it is possible to change the load profile of the power grid. The efficacious operation of SAs will be possible thanks to the change of habits of electricity users, which is briefly described in the article.

Keywords: renewable energy sources; energy demand control; smart appliances; elastic energy management algorithm; GRASP algorithm; IoT (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2022
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (1)

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