Storage Optimization in Distribution Systems Roger Cremers & Gabriël Bloemhof KEMA (The Netherlands) CREMERS – NL – RIF Session 4 – Paper 0180
Frankfurt (Germany), 6 -9 June 2011 Need for tool to assess storage solutions p Utilities are faced with increasing number of distributed energy sources. Storage devices can facilitate the implementation of these sources in the power system p The implementation of storage devices in power systems faces the utilities however with a lot a of questions that need to be answered CREMERS – NL – RIF Session 4 – Paper 0180
Frankfurt (Germany), 6 -9 June 2011 Typical questions Can a storage system alleviate the problems in my distribution network? p I have a limited amount of money to buy storage systems. What systems should I buy? p I need a certain amount of storage capacity in my power system. Should I buy only one storage device or multiple smaller devices? p Can storage based solutions compete with classical solutions? p CREMERS – NL – RIF Session 4 – Paper 0180
Frankfurt (Germany), 6 -9 June 2011 Too many alternatives to analyse… p Optimizing the location, type and size of mobile storage systems is a combinatorial problem with (too) many possible solutions CREMERS – NL – RIF Session 4 – Paper 0180
Frankfurt (Germany), 6 -9 June 2011 PLATOS New planning tool for optimising the application of (mobile) storage systems in electrical power systems p PLATOS can assist to address relevant issues involved with storage applications p CREMERS – NL – RIF Session 4 – Paper 0180
Frankfurt (Germany), 6 -9 June 2011 PLATOS is based on artificial evolution CREMERS – NL – RIF Session 4 – Paper 0180
Frankfurt (Germany), 6 -9 June 2011 Performance indicator p Performance of each unique solution is indicated by a performance indicator PI = NPV (annual benefits, annual costs) CREMERS – NL – RIF Session 4 – Paper 0180
Frankfurt (Germany), 6 -9 June 2011 User definable solution space p User defines: n n n What benefits and costs to be taken into account Number of storage types and sizes to choose from Desired storage technology Optimization objective Network constraints CREMERS – NL – RIF Session 4 – Paper 0180
Frankfurt (Germany), 6 -9 June 2011 Graphical and tabular output Use of single line diagram to present results graphically p Creation of Excel file containing all relevant results p CREMERS – NL – RIF Session 4 – Paper 0180
Frankfurt (Germany), 6 -9 June 2011
Frankfurt (Germany), 6 -9 June 2011
Frankfurt (Germany), 6 -9 June 2011 Main features of PLATOS p Optimization of storage application in power systems n n n p Performance indicators can be defined by the user n n p p p Optimization of location, size and type Optimization criteria can be changed by the user Monitoring of optimization process Definition of points of interest within power system Both technical and economical performance indicators Graphical and tabular output Comparison with classical non storage based solutions User definable load and generation patterns Tool can be used for each voltage level Transparant and uniform comparison of storage and non storage based solutions to network problems CREMERS – NL – RIF Session 4 – Paper 0180
Frankfurt (Germany), 6 -9 June 2011 Questions ? CREMERS – NL – RIF Session 4 – Paper 0180
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