Abstract
As the global demand for energy increases, new technologies are needed to satisfy the necessity for the electrical network growth. Smart grids’ operational and energy measures are targeted by most developed countries to enhance the efficiency of their systems, and reduce their carbon dioxide footprint. As part of a Smart Grid (SG), Distributed Generation (DG) has been adapted by grid operators and planners to enhance the efficiency, the stability, the reliability, and the power quality of the electric grid, in addition to, deferring the need for network upgrades. The purpose of this paper is to propose a Mobile Energy Generation and Storage System (MEGSS) that can serve a number of customers using an optimal dispatch approach. Applying day-ahead scheduling for customer’s profiles, mixed integer non-linear programming (MINLP) will be used for optimization to maximize the number of customers served. An Energy Management System (EMS) will be used to control the different power generation units on the truck. The costs and revenue of the system will be calculated to realize the efficiency and success of the proposed system.
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