New Distributed Optimization Method for TSO–DSO Coordinated Grid Operation Preserving Power System Operator Sovereignty
Steffen Meinecke (),
David Sebastian Stock and
Martin Braun
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Steffen Meinecke: Department of Energy Management and Power System Operation (e 2 n), University Kassel, 34121 Kassel, Germany
David Sebastian Stock: Department of Energy Management and Power System Operation (e 2 n), University Kassel, 34121 Kassel, Germany
Martin Braun: Department of Energy Management and Power System Operation (e 2 n), University Kassel, 34121 Kassel, Germany
Energies, 2023, vol. 16, issue 12, 1-18
Abstract:
Electrical power system operators (SOs) are free to realize grid operations according to their own strategies. However, because resulting power flows also depend on the actions of neighboring SOs, appropriate coordination is needed to improve the resulting system states from an overall perspective and from an individual SO perspective. In this paper, a new method is presented that preserves the data integrity of the SOs and their independent operation of their grids. This method is compared with a non-coordinated local control and another sequential method that has been identified as the most promising distributed optimization method in previous research. The time series simulations use transformer tap positioning as well as generation unit voltage setpoints and reactive power injections as flexibilities. The methods are tested on a multi-voltage, multi-SO, realistic benchmark grid with different objective combinations of the SOs. In conclusion, the results of the new method are much closer to the theoretical optimum represented by central optimization than those of the other two methods. Furthermore, the introduced method integrates a sophisticated procedure to provide fairness between SOs that is missing in other methods.
Keywords: optimal power flow; voltage control; reactive power dispatch; transmission system operator; distribution system operator; multi-voltage level; fairness (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2023
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Persistent link: https://EconPapers.repec.org/RePEc:gam:jeners:v:16:y:2023:i:12:p:4753-:d:1172494
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