A wireless coded predictive direct power control for renewable energy sources in smart grid environment

Abstract As the smart grid structure interconnects renewable energy sources and operators, it is inevitably influenced by the conversion technology and communication system. Investigating the effects of both aspects jointly is an intricate task due to its multifaceted characteristic. In this paper, it is proposed a wireless coded predictive direct power control for a general renewable energy system connected to the grid for smart grid environment. The predictive direct power control processes the received power references that are sent through the wireless channel, and selects the optimal voltage vector to be supplied by the three-phase inverter using the power errors. The wireless communication system, which connects the smart grid operator to the energy systems, is based on Low Density Parity Check and Orthogonal Frequency Division Multiplexing, and in this work, it was used, as a reference of performance, a system that employs Convolutional Coding. The behavior of the proposed power control is evaluated experimentally presenting an operational condition with satisfactory performance.

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