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.

Impact of wind power prediction quality on the optimal control of microgrids

Dao, L. A.;Piroddi, L.;Ferrarini, L.
2015-01-01

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.
2015
5th International Conference on Clean Electrical Power: Renewable Energy Resources Impact, ICCEP 2015
9781479987047
9781479987047
microgrid; model predictive control; optimal control; time series model; wind power prediction; Energy Engineering and Power Technology; Renewable Energy, Sustainability and the Environment; Electrical and Electronic Engineering
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11311/1120130
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