How can grid stability and economics be optimized by system identification?
Goal of Easy Smart Grid technology is to minimize cost and maximize margin for participating flexibilities by offering a market platform with real time prices. For large markets without monopolies or oligopolies this typically leads to a stable and economical beneficial behavior of the participants. However, in certain situations or in small cells, specific use of market power of flexibilities to maximize margin could lead to instabilities. Thus interesting research questions arise on how to regulate market access in these cases, and how to identify the grid system type and allowable transactions, e.g.
• How can flexible device controllers derive the system transfer functions out of the system response with only decentral available information?
• Which mathematical criteria have to be applied to decentral algorithms for controllers to safely avoid instabilities?