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

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...

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Bibliographic Details
Main Authors: Koropiecki, I. (Author), Krysik, M. (Author), Piotrowski, K. (Author), Powroźnik, P. (Author), Szcześniak, P. (Author), Turchan, K. (Author)
Format: Article
Language:English
Published: MDPI 2022
Subjects:
IoT
Online Access:View Fulltext in Publisher
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020 |a 19961073 (ISSN) 
245 1 0 |a An Elastic Energy Management Algorithm in a Hierarchical Control System with Distributed Control Devices 
260 0 |b MDPI  |c 2022 
856 |z View Fulltext in Publisher  |u https://doi.org/10.3390/en15134750 
520 3 |a 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. © 2022 by the authors. Licensee MDPI, Basel, Switzerland. 
650 0 4 |a Distributed parameter control systems 
650 0 4 |a Domestic appliances 
650 0 4 |a Elastic energy 
650 0 4 |a elastic energy management algorithm 
650 0 4 |a Elastic energy management algorithm 
650 0 4 |a Elasticity 
650 0 4 |a Electric power system control 
650 0 4 |a Electric power transmission networks 
650 0 4 |a Energy 
650 0 4 |a energy demand control 
650 0 4 |a Energy demand control 
650 0 4 |a Energy demands 
650 0 4 |a Energy management 
650 0 4 |a Energy management algorithms 
650 0 4 |a Energy management systems 
650 0 4 |a Fossil fuels 
650 0 4 |a GRASP algorithm 
650 0 4 |a Internet of things 
650 0 4 |a IoT 
650 0 4 |a Natural resources 
650 0 4 |a Renewable energy resources 
650 0 4 |a Renewable energy source 
650 0 4 |a renewable energy sources 
650 0 4 |a smart appliances 
650 0 4 |a Smart appliances 
700 1 |a Koropiecki, I.  |e author 
700 1 |a Krysik, M.  |e author 
700 1 |a Piotrowski, K.  |e author 
700 1 |a Powroźnik, P.  |e author 
700 1 |a Szcześniak, P.  |e author 
700 1 |a Turchan, K.  |e author 
773 |t Energies