Title :
A receding-horizon approach for active and reactive power flows optimization in microgrids
Author :
Bonfiglio, A. ; Bracco, S. ; Brignone, M. ; Delfino, F. ; Pampararo, F. ; Procopio, R. ; Robba, M. ; Rossi, M.
Author_Institution :
Dept. of Inf., Bioeng., Robot., & Syst. Eng., Univ. of Genova, Genoa, Italy
Abstract :
An approach based on a receding-horizon control scheme is here proposed for the optimal control of active and reactive power flows in microgrids (an aggregation of distributed energy resources (DER) of small size (such as photovoltaics, wind generation, cogeneration units - CHP, concentrated solar power - CSP, mini-hydro, energy storage)). Microgrids represent today one of the most promising technology for DERs integration, as they can alleviate management and monitoring burden for the Distribution System Operator (DSO) by clustering several DERs in a single entity which interacts with the grid as a single source. The formalized decision model is applied to an innovative test-bed facility (the University of Genova Smart Polygeneration Microgrid).
Keywords :
distributed power generation; infinite horizon; load flow control; optimal control; power grids; reactive power control; CHP; CSP; DER; DER clustering; DER integration; DSO; University of Genova Smart Polygeneration Microgrid); active power flow optimization; cogeneration units; concentrated solar power; distributed energy resources; distribution system operator; energy storage; formalized decision model; minihydro; optimal control; photovoltaics; reactive power flow optimization; receding-horizon control scheme; wind generation; Boilers; Educational institutions; Equations; Microgrids; Optimization; Production; Reactive power;
Conference_Titel :
Control Applications (CCA), 2014 IEEE Conference on
Conference_Location :
Juan Les Antibes
DOI :
10.1109/CCA.2014.6981445