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This paper presents the design of a Model Predictive Control (MPC) scheme to optimally manage the thermal and electrical subsystems of a small-size building (“smart house”), with the objective of minimizing the expense for buying energy from the grid, while keeping the room temperature within given time-varying bounds. The system, for which an experimental prototype has been built, includes PV panels,...
This paper describes the modeling and control of heat and electricity flows in a smart house equipped with a solar heating system, PV panels, and lead-acid batteries for energy storage. The goal is to minimize electricity costs, making best use of renewable sources of heat and electricity. The system model is obtained via system identification from experimental data as a discrete-time hybrid system...
This paper proposes a design of a hybrid renewable power system with adaptive controller. It assumes simultaneous operation of wind turbines, PV cells and fuel cells. Mathematical model for the entire system is represented in the form of a transfer function. Adaptation mechanism is based on local parametric optimization where performance criterion minimizes a function of the error between the responses...
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