Abstract—This paper proposes a new decision approach in energy management systems on a large scale. This approach aims to optimal manage energy demand in real-time by considering share renewable energy excess between microgrids in order to minimize energy consumer costs, maximize energy producer gains and reduce gas emissions. A microgrid, in seller mode, may have a risk of a decreasing profitability when the excess energy is supplied. As advance estimation of energy consumption and production may give an unstable input, so this microgrid may confirm to sell a quantity of energy which will be required later for itself. To overcome this inconvenience, a profitable energy selling price which is based on the energy selling risk is a good solution to avoid inefficient sales. In our solution, profitability is increased thanks to our energy selling price which is defined in a flexible manner and is adequately adapted to the microgrid’s excess energy and the profitability factor. Simulation results show that our energy sharing model satisfy microgrid’s requirements.
Index Terms—Energy management, energy efficiency, cost optimization, gain maximization.
Z. Mhadhbi is with the Mediatron Research Laboratory, Higher School of Communications, University of Carthage, 2083, Ariana, Tunisia (e-mail: zaineb.mhadhbi@gmail.com, belhassen.zouari@supcom.tn).
C. Gueguen is with the Institut de Recherche en Informatique et Systèmes Aléatoires Laboratory, University of Rennes1, 35000 Rennes, France (e-mail: cedric.gueguen@irisa.fr).
S. Zairi is with the Higher School of Digital Economy, University of Manouba, 2010 Manouba, Tunisia, and also with the Mediatron Research Laboratory, Higher School of Communications, University of Carthage, 2083, Ariana, Tunisia (e-mail: zairisajeh@fst.rnu.tn).
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Cite:Zeineb Mhadhbi, Cedric Gueguen, Sajeh Zairi, and Belhassen Zouari, "Autonomous Distributed Energy Management for Intelligent Microgrids," Journal of Clean Energy Technologies vol. 6, no. 1, pp. 31-40, 2018.