Shared energy algorithm and parameters influence on multi-sources and multi-consumers smart microgrid

In almost electrical grid application, we found the “energy management” term which ensure many benefits in order to ameliorate the control of energy and also to streamlining the use from the level of production, distribution to the energy consumption. In this paper, we will condense our work in some particular case when we will explain the “sharing energy” concept in electrical grid application characterized by multi-sources and multi-consumers. To ensure an optimal management of electrical energy, we develop a modified “demand side management algorithm” which allows terminal consumers to plan the daily consumption of their own households in order to reduce the monthly and annual cost and avoid breakdowns caused by overloads created by the consumption peaks. It associates, finally, to each customer the appropriate and suitable daily planning throughout the entire year which generates the minimum cost while respecting the renewable production and the dynamic pricing specified by nonrenewable source of the utility company. The main goal, is to minimize the total cost of electrical energy, can be guaranteed by studying intensely the parameters that influence the cost that guide us to the ideal and supreme combination of them.