Commit 58b0d6ab authored by Alberto Dognini's avatar Alberto Dognini
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Update README.md

parent 1e21ecda
......@@ -24,7 +24,7 @@ Instructions to use the service restoration algorithm:
1. The two Python codes and the excel file must be located in the same folder.
2. Configure the excel sheet, providing information about grid topology, loads, switches and fault location (set the tripped circuit breakers).
3. If changed, set the excel file name in the RBOSR Python code (in line 910).
4. Set the comparison factors `uL1`, `uL2`, `uL3`, `u12`, `u13` and `u23` according to the MCDM desired restoration targets in the RBO_Service_Restoration Python code (in line 928). Additional information are found in the papers "How to make a decision: The analytic hierarchyprocess", author: Thomas L. Saaty and "Service Restoration Algorithm for Distribution Grids under High Impact Low Probability Events", authors: A. Dognini, A. Sadu, A. Angioni, F. Ponci, A. Monti, currently under publication process.
4. Set the comparison factors `uL1`, `uL2`, `uL3`, `u12`, `u13` and `u23` according to the MCDM desired restoration targets in the RBO_Service_Restoration Python code (in line 928). Additional information are found in the papers "How to make a decision: The analytic hierarchy process", author: Thomas L. Saaty and A. Dognini, A. Sadu, A. Angioni, F. Ponci and A. Monti, "Service Restoration Algorithm for Distribution Grids under High Impact Low Probability Events," 2020 IEEE PES Innovative Smart Grid Technologies Europe (ISGT-Europe), The Hague, Netherlands, 2020, pp. 237-241.
5. Run the Python code `RBO_Service_Restoration.py`, which retrieves the faulted grid data, computes the possible existing solutions and publishes the results.
......@@ -51,7 +51,7 @@ https://git.rwth-aachen.de/acs/public/automation/rbosr
For additional information, refer to the following articles:
- A. Dognini, A. Sadu, A. Angioni, F. Ponci, A. Monti, [`Service Restoration Algorithm for Distribution Grids under High Impact Low Probability Events`] (_under publication process_), 2020 IEEE Innovative Smart Grid Technologies - Europe (ISGT-Europe), Oct 2020.
- A. Dognini, A. Sadu, A. Angioni, F. Ponci and A. Monti, [`Service Restoration Algorithm for Distribution Grids under High Impact Low Probability Events´](https://ieeexplore.ieee.org/document/9248823) 2020 IEEE PES Innovative Smart Grid Technologies Europe (ISGT-Europe), The Hague, Netherlands, 2020, pp. 237-241.
- C. Muscas, S. Sulis, A. Angioni, F. Ponci, and A. Monti, [`Impact of Different Uncertainty Sources on a Three-Phase State Estimator for Distribution Networks`](https://ieeexplore.ieee.org/document/6775299), IEEE Transactions on Instrumentation and Measurement, vol. 63, no. 9, pp. 2200-2209, Sep. 2014.
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