The present paper addresses the problem of control of power flows in a microgrid endowed with wind electrical energy generation and electrical energy storage. The contribution is twofold: it first investigates the problems related to the design of short-medium term wind energy power predictors, intended for control applications in dispatching electricity problems. Then, such predictors are used in the development of a control system, based on Model Predictive Control (MPC), for a microgrid containing a flexible load, energy storage, wind farm, and a point of common coupling with the national electricity grid. In particular, the paper provides an evaluation of the impact of the above mentioned predictors on the quality of the control scheme. A basic sensitivity analysis is performed to test the dependency of the control results with respect to the main parameters of the MPC
This paper presents a Model Predictive Control scheme combined with rotor flux oriented vector control designed for an autonomous squirrel-cage induction generator driven by a variable speed wind turbine in a standalone system. The induction generator is excited using PWM inverter/rectifier connected to a single capacitor on the DC side. The model here adopted allows the saturation effect to be taken into account represented here by means of variable inductance, but in this paper a linear MPC is investigated, with different sampling time with respect to the plant. In particular, a fine tuning of MPC parameters, a special variable-step smoothing technique, a prefiltering action of rotor speed show the ability to regulate the DC bus voltage at a constant value fast and smoothly in presence of different wind disturbances and of different loads
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