Optimal Network Reconfiguration (ONR) proved to be a useful tool to assist distribution system operators in ensuring quality of supply of smart distribution grids. By minimizing the active power losses and optimizing power quality indices, this paper presents a Mixed-Integer Second Order Cone Programming (MISOCP)-based approach to solve ONR improving grid reliability and integrating fault detection, isolation, and recovery (FDIR) practices together with network constraints. Numerical experiments on two realistic primary distribution network models with 102 buses and 1014 buses, respectively, and distributed generation, demonstrate the validity of the methodology in obtaining feasible solutions under different operating conditions, overcoming the challenges related to the nonlinearity of power flow equations and the combinatoriality of the problem.

Employing MISOCP Relaxations to Solve Distribution Optimal Network Reconfiguration / Cometa, R.; Velini, A.; La Scala, M.; Musca, R.; Minetti, M.; Bonfiglio, A.; Bruno, S.. - (2025), pp. 1-5. ( 2025 IEEE Power and Energy Society General Meeting, PESGM 2025 usa 2025) [10.1109/PESGM52009.2025.11224978].

Employing MISOCP Relaxations to Solve Distribution Optimal Network Reconfiguration

Cometa R.;Velini A.;La Scala M.;Bruno S.
2025

Abstract

Optimal Network Reconfiguration (ONR) proved to be a useful tool to assist distribution system operators in ensuring quality of supply of smart distribution grids. By minimizing the active power losses and optimizing power quality indices, this paper presents a Mixed-Integer Second Order Cone Programming (MISOCP)-based approach to solve ONR improving grid reliability and integrating fault detection, isolation, and recovery (FDIR) practices together with network constraints. Numerical experiments on two realistic primary distribution network models with 102 buses and 1014 buses, respectively, and distributed generation, demonstrate the validity of the methodology in obtaining feasible solutions under different operating conditions, overcoming the challenges related to the nonlinearity of power flow equations and the combinatoriality of the problem.
2025
2025 IEEE Power and Energy Society General Meeting, PESGM 2025
Employing MISOCP Relaxations to Solve Distribution Optimal Network Reconfiguration / Cometa, R.; Velini, A.; La Scala, M.; Musca, R.; Minetti, M.; Bonfiglio, A.; Bruno, S.. - (2025), pp. 1-5. ( 2025 IEEE Power and Energy Society General Meeting, PESGM 2025 usa 2025) [10.1109/PESGM52009.2025.11224978].
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11589/294920
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