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Hierarchical Online-Optimization for the Control of Flexible Loads and Generators in Distribution Grids
Publikationstyp
Conference Paper
Publikationsdatum
2021-11
Sprache
English
Author
Institut
Start Page
28
End Page
33
Citation
IEEE Power and Energy Student Summit (PESS 2021)
Contribution to Conference
Publisher Link
Scopus ID
This paper proposes a hierarchical online algorithm to solve a multi-level Optimal Power Flow problem in distribution grids with a high penetration of distributed energy resources. Based on an overall utility function, the developed method aims to optimize the usage of controllable loads and generators while maintaining compliance with the defined engineering constraints. The hierarchical control architecture is composed of a superordinate controller and several regional controllers that operate on lower levels. Using an online projected gradient method, the controllers compute incremental changes for the active power setpoints and use mutual communication to capture real-time measurements of power injections, nodal voltages and line currents. The hereby created feedback loop allows to accurately monitor the grid state and detect potential limit violations. The developed algorithm is tested using time series simulations in a MATLAB/SIMULINK environment. It is shown that the hierarchical controller is suitable for controlling exemplary critical power flow scenarios, while enabling higher computational efficiency since the computations are distributed among multiple units.
Schlagworte
distribution grids
hierarchical online optimization
medium voltage level
optimal power flow
voltage regulation