IRI - Performance of MV distributed energy power systems under model-predictive control and conventional power systems state estimators

Publication

Performance of MV distributed energy power systems under model-predictive control and conventional power systems state estimators

Conference Article

Conference

IEEE Colombian Conference on Automatic Control (CCAC)

Edition

3rd

Pages

1-6

Doc link

http://dx.doi.org/10.1109/CCAC.2017.8276412

File

Download the digital copy of the doc pdf document

Authors

Sandoval Moreno, John
Ocampo Martínez, Carlos A.

Abstract

In this paper, the performance of a middle voltage (MV) distributed power generation system under a Model Predictive Control (MPC) strategy is tested. The designed controller receives process information from an state estimation unit, composed of a Weighted Least-Squares strategy (WLS). The contribution is focused on performing the frequency and voltage regulation of the system, considering moreover the dynamic behavior of storage units and capacitors, and feeding back information to the control system considering the transmission delay. The results show that the closed loop based on the proposed strategy achieves the required performance and can be useful to be applied to more complex systems such as low-voltage (LV) generation systems.

Author keywords

Model predictive control, state estimators, power generation systems, industrial applications

Scientific reference

J. Sandoval-Moreno and C. Ocampo-Martínez. Performance of MV distributed energy power systems under model-predictive control and conventional power systems state estimators, 3rd IEEE Colombian Conference on Automatic Control, 2017, Cartagena, pp. 1-6.