P. Powroźnik

Reduction of peak energy demand based on smart appliances energy consumption adjustment

In the paper the concept of elastic model of energy management for smart grid and micro smart grid is presented. For the proposed model a method for reducing peak demand in micro smart grid has been defined. The idea of peak demand reduction in elastic model of energy management is to introduce a balance between demand and supply of current power for the given Micro Smart Grid in the given moment. The results of the simulations studies were presented. They were carried out on real household data available on UCI Machine Learning Repository. The results may have practical application in the smart grid networks, where there is a need for smart appliances energy consumption adjustment. The article presents a proposal to implement the elastic model of energy management as the cloud computing solution. This approach of peak demand reduction might have application particularly in a large smart grid.

Algorithm of periods determination of various priority tasks implementation in the measurement and control node

In this paper a new algorithm for periods determination of tasks implementation in the uniprocessor measuring and control system (MCS) node with elastic scheduling model is presented. Assigned solution means modification of frequency of all tasks. The level of modification depends on the scope of permissible periods changes, the tasks execution times and the tasks priority. Streszczenie. W artykule przedstawiono nowy algorytm doboru okresów realizacji zadań w jednoprocesorowym węźle systemu pomiarowo – sterującego z elastycznym modelem szeregowania zadań. Wyznaczone rozwiązanie oznacza modyfikację częstotliwości wykonywania wszystkich zadań jednak w różnym stopniu w zależności od zakresu dopuszczalnych zmian okresu wykonywania, czasu wykonywania zadania oraz jego priorytetu. (Algorytm doboru okresów realizacji zadań o różnym priorytecie w węźle pomiarowo sterującym).