Power management and optimization for isolated DC microgrid

Author

Sechilariu, Manuela ; Baochao Wang ; Locment, Fabrice

Author_Institution

AVENUES-GSU EA 7284, Univ. de Technol. de Compiegne, Compiegne, France

fYear

2014

fDate

18-20 June 2014

Firstpage

1284

Lastpage

1289

Abstract

This paper presents a photovoltaic-storage-microturbine based DC microgrid, with multi-layer supervision which optimizes efficiently operation while satisfying constraints. Based on forecast data and using a mixed integer linear programming optimization, a predictive power flow is obtained which leads to an optimization-based strategy for real-time power balancing. Experimental test proves the feasibility of the supervisory control and demonstrates the problem formulation of minimizing total energy cost.

Keywords

cost reduction; distributed power generation; integer programming; linear programming; load flow; power system management; solar cells; data forecasting; energy cost minimization; mixed integer linear programming optimization; photovoltaic-storage-microturbine based isolated DC microgrid; power flow; power management; power optimization; real-time power balancing; Energy management; Load flow; Microgrids; Optimization; Power demand; Production; System-on-chip; energy cost optimization; forecast data; microgrid; photovoltaic; storage; supervision;

fLanguage

English

Publisher

ieee

Conference_Titel

Power Electronics, Electrical Drives, Automation and Motion (SPEEDAM), 2014 International Symposium on

Conference_Location

Ischia

Type

conf

DOI

10.1109/SPEEDAM.2014.6872087

Filename

6872087