Title :
Loss minimization in medium voltage distribution grids by optimal management of energy storage devices
Author :
Farrokhifar, M. ; Grillo, Samuele ; Tironi, E.
Author_Institution :
Dipt. di Elettron., Inf. e Bioingegneria, Politec. di Milano, Milan, Italy
Abstract :
This paper presents an algorithm for optimal operating of energy storage devices in medium voltage distribution grids. Losses minimization in such grids has always been of paramount importance for power system planners and, in literature, a number of approaches are proposed. In this paper a novel method for losses minimization of power distribution grids by means of genetic algorithm is presented. This method is based on the definition of optimal management strategy of energy storage devices. The optimal placement of the storage device is assessed by comparing the losses reduction when the storage device is installed at different busbars. The efficiency of the proposed algorithm is studied through simulations of several case studies on a CIGRÉ medium voltage test grid.
Keywords :
genetic algorithms; power distribution planning; power grids; power system management; CIGRE medium voltage test grid; busbars; energy storage devices; genetic algorithm; loss minimization; losses reduction; medium voltage distribution grids; optimal management; optimal placement; power distribution grids; power system planners; Batteries; Biological cells; Economics; Genetic algorithms; Medium voltage; Minimization; Energy storage device; genetic algorithm; loss minimization; state of charge;
Conference_Titel :
PowerTech (POWERTECH), 2013 IEEE Grenoble
Conference_Location :
Grenoble
DOI :
10.1109/PTC.2013.6652316