Scholarly record
MODEL PREDICTIVE CONTROL APPLICATION FOR A BATTERY ENERGY STORAGE SYSTEM IN A WIND POWER PLANT
Abstract
Lately, high penetration of intermittent renewable energy sources into power systems requires, besides efficient technologies employment, developing adequate control strategies to improve their performance. Given that their operation flexibility is constrained by short timeframe of foresight, energy storage systems represent an attractive solution that can mitigate the natural variability of renewable power plants electricity output, providing therefore enhanced quality of supply. The nonlinearity and uncertainty governing wind energy conversion systems, which have the widest range of variation regarding their output, entail implementing appropriate control. This paper presents a simulation model for an application of model predictive control on managing the exploitation of a battery energy storage system in a wind energy power plant, aiming to overcome the inherent variability of the natural resource. The model used for simulation consists of a variable pitch wind turbine driving a permanent magnet synchronous generator, a high voltage battery and a power converter as generation/storage subsystem and a load fed by it. Simulations were performed using Matlab/Simulink programming environment and aimed to determine the structure of the controller regarding the number and nature of the signals (measured and not measured disturbances and outputs; manipulated variables) employed for control purposes. The results obtained show a stable behavior of the proposed configuration.
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