A Tabu-search-based Algorithm for Distribution Network Restoration to Improve Reliability and Resiliency

doi:10.35833/MPCE.2022.000150

Home > Archive>Volume 11, Issue 1, 2023 >302-311. DOI:10.35833/MPCE.2022.000150

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A Tabu-search-based Algorithm for Distribution Network Restoration to Improve Reliability and Resiliency

DOI:

10.35833/MPCE.2022.000150

Author:

Bosisio Alessandro
Bosisio Alessandro
the Energy Department of Politecnico di Milano, Milan, Italy
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Berizzi Alberto
Berizzi Alberto
the Energy Department of Politecnico di Milano, Milan, Italy
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Lupis Daniele
Lupis Daniele
the Energy Department of Politecnico di Milano, Milan, Italy, and he is now with E-distribuzione, Monza, Italy, Italy
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Morotti Andrea
Morotti Andrea
the Unareti Electrical Network Planning Department, Milan, Italy
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Iannarelli Gaetano
Iannarelli Gaetano
the Department of Astronautics, Electrical and Energy Engineering of the Sapienza University, Rome, Italy;the Technological Development Department of the DSO Unareti, Milan, Italy
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Greco Bartolomeo
Greco Bartolomeo
the Unareti Market Development and Special Projects Department, Milan, Italy;the Department of Astronautics, Electrical and Energy Engineering of the Sapienza University, Rome, Italy
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Affiliation:

1.Energy Department of Politecnico di Milano, Milan, Italy
2.E-distribuzione, Monza, Italy
3.Unareti Electrical Network Planning Department, Milan, Italy
4.Department of Astronautics, Electrical and Energy Engineering of the Sapienza University, Rome, Italy
5.Technological Development Department of the DSO Unareti, Milan, Italy
6.Unareti Market Development and Special Projects Department, Milan, Italy

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Abstract:

Fault restoration techniques have always been crucial for distribution system operators (DSOs). In the last decade, it started to gain more and more importance due to the introduction of output-based regulations where DSO performances are evaluated according to frequency and duration of energy supply interruptions. The paper presents a tabu-search-based algorithm able to assist distribution network operational engineers in identifying solutions to restore the energy supply after permanent faults. According to the network property, two objective functions are considered to optimize either reliability or resiliency. The mathematical formulation includes the traditional feeders, number of switching operation limit, and radiality constraints. Thanks to the DSO of Milan, Unareti, the proposed algorithm has been tested on a real distribution network to investigate its effectiveness.

Key words:Distribution system operators (DSOs) ; heuristic algorithms ; power system reliability ; power system restoration ; resiliency

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Received:March 18,2022
Revised:June 16,2022
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Online: January 28,2023
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