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Reduction of peak demand in micro smart grid by means of elastic model of power management

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Warianty tytułu
PL
Zastosowanie elastycznego modelu zarządzania mocami w sieciach klasy mikro smart grid w celu redukcji zjawiska peak demand
Języki publikacji
EN
Abstrakty
EN
In this paper the idea of elastic model of power management in micro smart grid is presented. For the proposed model a method for reducing peak demand in micro smart grid has been defined. In addition, the algorithm of evaluation of the power values selection for nodes, which may be a renewable source of energy in the micro smart grid, is outlined. The idea of powers management presented in the article can be used not only in the micro smart grid networks, but also in the smart grid.
PL
W artykule przedstawiono ideę elastycznego modelu zarządzania mocami w sieciach mikro smart grid. Dla zaproponowanego modelu określono sposób redukcji zwiększonego zapotrzebowania na moc (ang. peak demand) w danej sieci mikro smart grid. Ponadto przedstawiono algorytm oceny redukcji mocy w węzłach sieci mikro smart grid, które mogą stanowić odnawialne źródła energii. Przedstawiona idea zarządzania mocami może znaleźć zastosowanie nie tylko w sieciach mikro smart grid, ale również smart grid.
Rocznik
Strony
205--208
Opis fizyczny
Bibliogr. 17 poz., tab.
Twórcy
  • University of Zielona Góra, Faculty of Computer, Electrical and Control Engineering, Institute of Metrology, Electronics and Computer Science, Szafrana 2, 65-516 Zielona Góra
Bibliografia
  • [1] Shawkat A. B. M.: Smart Grids Opportunities, Developments, and Trends, Springer-Verlag, London, (2013)
  • [2] Zubair Md. Fadlullah, Mostafa M. Fouda, Nei Kato, Akira Takeuchi, Noboru Iwasaki, Yousuke Nozak i.: Toward Intelligent Machine-to-Machine Communications in Smart Grid,” IEEE Communications Magazine, vol. 49, no. 4, pp. 60 - 65, (2011)
  • [3] Su Y., Su R. , Poolla K., Distributed Scheduling for Efficient HVAC Pre-cooling Operationsm, 19th World Congress The International Federation of Automatic Control Cape Town, South Africa. August 24-29, (2014)
  • [4] D’Oca S., Corgnati S. P., Buso T., Smart meters and energy savings in Italy: Determining the effectiveness of persuasive communication in dwellings, Elsevier, Energy Research & Social Science 3, (2014), 131–142
  • [5] Cottone P., Gaglio S., Lo Re G., Ortolani M., User activity recognition for energy saving in smart homes, Elsevier, Pervasive and Mobile Computing 16, (2015), 156–170
  • [6] Basua K., Hawaraha L., Arghiraa N., Joumaa H., Ploi xa S., A prediction system for home appliance usage, Elsevier, Energy and Buildings 67, (2013), 668–679
  • [7] Kouveletsoua M., Sakkasa N., Garvin S., Batic M., Rec cardo D., Ster l ing R., Simulating energy use and energy pricing in buildings: The case of electricity, Elsevier, Energy and Buildings 54, (2012), 96–104
  • [8] Gong X., Pessemier T., Joseph W., Martens L., A generic method for energy-efficient and energy-cost-effective production at the unit process level, Elsevier, Journal of Cleaner Production 113, (2016), 508–522
  • [9] Arghira N., Hawarah L., Ploix S, Jacomino M., Prediction of appliances energy use in smart homes, Elsevier, Energy 48, (2012), 128–134
  • [10] Weinert N., Chiotellis S., Seliger G., Methodology for planning and operating energy-efficient production systems, CIRP Annals - Manufacturing Technology 60, (2011), 41–44
  • [11] Grolingera K., L’Heureuxa A., Capretza M. A.M., Seewaldba L., Energy Forecasting for Event Venues: Big Data and Prediction Accuracy, Elsevier, Energy and Buildings 112, (2016), 222–233
  • [12] Yuce B., Rezgui Y., Mourshed M., ANN–GA smart appliance scheduling for optimised energy management in the domestic sector, Elsevier, Energy and Buildings 111, (2016), 311–325
  • [13] Donga B., Lia Z., Rahmana S.M. M., Vega R., A hybrid model approach for forecasting future residential electricity consumption, Elsevier, Energy and Buildings 117, (2016), 341–351
  • [14] Graditia G., Ippolitob M.G., Lamedicac R., Piccolod A., Ruvioc A., Santinic E., Sianod P., Zi zzob G. , Innovative control logics for a rational utilization of electric loads and air-conditioning systems in a residential building, Elsevier, Energy and Buildings 102, (2015), 1–17
  • [15] Ortiza J., Guarinob F., Saloma J ., Corcheroc C., Cellura M., Stochastic model for electrical loads in Mediterranean residential buildings: Validation and applications, Elsevier, Energy and Buildings 80, (2014), 23–36
  • [16] Powroźnik P., Michta E., Elastic model of energy management in micro smart grid, International School on Nonsinusoidal Currents and Compensation - ISNCC 2015, 12th conference - seminar. Łagów, Poland, (2015)
  • [17] Wójcik A., Winiecki W., Kowalik R., Nogal Ł ., Characterization of electrical appliances based on their immitance, Measurement Systems in Research and in Industry - SP 2016, 11th Scientific Conference Łagów, Poland, 2016, 69-72 (in Polish)
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-01821829-9c66-4f07-9b26-78e955b4efba
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