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2014
Conference Paper
Titel
Optimizing the reactive power balance between a distribution and transmission grid through iteratively updated grid equivalents
Abstract
This paper focuses on a scenario with a high amount ofrenewable generators (DGs) in the distribution grid; a local gridoperator (DSO) utilizes reactive power provision by the DGs, toimprove the reactive power balance at the connection points tothe transmission grid. At the same time, the transmission gridoperator (TSO) aims to optimize his voltage, by computingreactive power setpoints for the DSO. This is a decentralizedoptimization problem, where two optimizers (""DSO"" and ""TSO"")balance the reactive power flow between their grid areas. Nooptimizer has detailed information about the neighbouring gridarea and uses a very simple equivalent model for it. In case these equivalents are updated iteratively, we find that both optimizersmostly converge within only afew iterations for a realistic Danishgrid topology. However, it is also found that the accuracy of theresult highly depends on the built-in component models that eachoptimizer uses, within its own grid area.