Title :
Impact of wind power prediction quality on the optimal control of microgrids
Author :
Dao, L.A. ; Piroddi, L. ; Ferrarini, L.
Author_Institution :
Dipt. di Elettron., Inf. e Bioingegneria, Politec. di Milano, Milan, Italy
Abstract :
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.
Keywords :
distributed power generation; energy storage; load dispatching; load flow control; load forecasting; power supply quality; power system control; predictive control; wind power plants; MPC; electrical energy storage; electricity problem dispatching; microgrid control; model predictive control; national electricity grid; power flow control; wind electrical energy generation; wind energy power predictor; wind farm; wind power prediction quality; Autoregressive processes; Batteries; Microgrids; Optimization; Predictive models; Wind power generation; Wind speed; microgrid; model predictive control; optimal control; time series model; wind power prediction;
Conference_Titel :
Clean Electrical Power (ICCEP), 2015 International Conference on
Conference_Location :
Taormina
DOI :
10.1109/ICCEP.2015.7177636