Loss minimization in medium voltage distribution grids by optimal management of energy storage devices

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.

[1]  F. Silvestro,et al.  A Two-Stage Scheduler of Distributed Energy Resources , 2007, 2007 IEEE Lausanne Power Tech.

[2]  Stefano Barsali,et al.  Benchmark systems for network integration of renewable and distributed energy resources , 2014 .

[3]  David E. Goldberg,et al.  Genetic Algorithms in Search Optimization and Machine Learning , 1988 .

[4]  F. Pilo,et al.  Optimal integration of energy storage in distribution networks , 2009, 2009 IEEE Bucharest PowerTech.

[5]  Juan A. Martinez,et al.  Modeling and characterization of energy storage devices , 2011, 2011 IEEE Power and Energy Society General Meeting.

[6]  Seyed Abbas Taher,et al.  A novel method for optimal capacitor placement and sizing in distribution systems with nonlinear loads and DG using GA , 2011 .

[7]  Vasilije Lukic.  Optimal Operating Policy for Energy Storage , 1982, IEEE Transactions on Power Apparatus and Systems.

[8]  Meisam Farrokhifar,et al.  A Novel Method for Optimal Location and Expansion of Subtransmission Substations Considering Existing Medium-Voltage Distribution Feeders , 2009 .

[9]  Michael Cw Kintner-Meyer,et al.  Analysis Tools for Sizing and Placement of Energy Storage in Grid Applications , 2011 .

[10]  Yee Leung,et al.  A genetic algorithm for the multiple destination routing problems , 1998, IEEE Trans. Evol. Comput..

[11]  C. Bulac,et al.  DC power delivery in distributed generation systems , 2008, 2008 13th International Conference on Harmonics and Quality of Power.

[12]  Michael Cw Kintner-Meyer,et al.  Energy Storage for Power Systems Applications: A Regional Assessment for the Northwest Power Pool (NWPP) , 2010 .

[13]  Julio Romero Aguero.  Improving the efficiency of power distribution systems through technical and non-technical losses reduction , 2012, T&D 2012.

[14]  Federico Silvestro,et al.  Optimal Management Strategy of a Battery-Based Storage System to Improve Renewable Energy Integration in Distribution Networks , 2012, IEEE Transactions on Smart Grid.

[15]  Olle I. Elgerd,et al.  Electric Energy Systems Theory: An Introduction , 1972 .