Abstract

This paper presents a single input / single output model predictive control (SISO-MPC) in the framework of a smart grid to include energy management and real-time electricity pricing. This research also addresses the challenges associated with the increasing utility costs within commercial buildings. The modeling of this paper is based on electrical energy demand, in conjunction with real-time electricity pricing, when the fixed tariff is prepaid. This model is established with a smart meter and it can be managed by controlling the load system during the operating time to ensure the optimal cost of electricity. It has been found that SISO-MPC in real-time pricing is robust, and allows the control of electricity usage within commercial buildings while saving energy and managing the electrical system. The performance index of this design can handle all system constraints and a gain from 50 to 60 percent or more of the total cost of electricity. As there is also an increase in demand for electricity, this is of significant value to both the consumer and the utility company.

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