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
This paper investigates voltage control and generation dispatch of distributed generators (DGs) and how the operation of installed DGs can be optimized in distribution systems. A novel online generation dispatch algorithm for DGs is proposed in this work. This algorithm optimizes the contribution of individual DG units for grid voltage control in terms of costs. The technical advantages of the presented approach are evaluated by comparing the simulation results with various static and local dispatch control strategies, which can be considered currently as state-of-the-art according to technical standards and recent research. Simulation results indicate that the proposed method decreases the total cost for DG, improves the quality of voltage profiles and guarantees for each DG unit the opportunity to provide a fair amount of ancillary service to the grid. Additionally, through a performance test on a real time simulation platform it is concluded that the presented approach is also suitable for large grids in real time operation
Evaluations of possible grid impacts from electric vehicles have been published extensively during the past years. Different parameters and assumptions of simulation models are used in these studies. In this work it is investigated if the evaluations of grid impacts can be affected by simulation parameters and modeling complexity. Possible consequences from varying simulation parameters are analyzed at a worst case scenario and randomly generated charging scenarios. For evaluation of minimal voltages or grid losses, smaller time steps and more sophisticated models lead to more precise results. These findings will be used in upcoming works on real time simulator design, for defining study scenarios and choosing proper simulation models
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