This paper describes an advanced method of analysis and optimization of Medium Voltage (MV) distribution networks with the aim to increase the energy efficiency, based on the grid reconfiguration. The study is based on a procedure that optimizes the network structure during a given time interval (e.g. a day or an entire year). Both the cases of static (optimized configuration kept constant over time) and dynamic network configuration have been considered. The algorithm is divided into two distinct procedures: the first one (composed by two modules and to be run off-line) manages the expected profiles of load and generation, performs the calculations and structures results in appropriate matrices. The second phase (the optimization algorithm) processes the matrices previously calculated, finding the best solution w.r.t. a predefined metric; this second procedure could be re-run quickly after changing the desired parameters. Results on a real MV network model show that a reduced number of reconfigurations during the year can allow a significant losses decrease; more frequent operations would introduce only marginal benefits.

MV networks reconfiguration for losses reduction

DELFANTI, MAURIZIO;FALABRETTI, DAVIDE;MERLO, MARCO;
2012-01-01

Abstract

This paper describes an advanced method of analysis and optimization of Medium Voltage (MV) distribution networks with the aim to increase the energy efficiency, based on the grid reconfiguration. The study is based on a procedure that optimizes the network structure during a given time interval (e.g. a day or an entire year). Both the cases of static (optimized configuration kept constant over time) and dynamic network configuration have been considered. The algorithm is divided into two distinct procedures: the first one (composed by two modules and to be run off-line) manages the expected profiles of load and generation, performs the calculations and structures results in appropriate matrices. The second phase (the optimization algorithm) processes the matrices previously calculated, finding the best solution w.r.t. a predefined metric; this second procedure could be re-run quickly after changing the desired parameters. Results on a real MV network model show that a reduced number of reconfigurations during the year can allow a significant losses decrease; more frequent operations would introduce only marginal benefits.
2012
2012 IEEE International Energy Conference and Exhibition (ENERGYCON)
978-1-4673-1453-4
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11311/692714
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