Distributed optimal power flow for islanded microgrids: An application to the Smart Polygeneration Microgrid of the Genoa University

Buono, L.; Sanseverino, E.; Bracco, S.; Delfino, F.

Risultato della ricerca: Paper

1 Citazione (Scopus)

Abstract

In this work, the application of an original distributed optimal power flow method to test a microgrid in the Savona area, Italy is proposed. The microgrid shows different types of Distributed Energy Resources (DERs) and is connected to the main grid through a fixed power bus. Due to the high computational speed, the applied distributed Optimal Power Flow can be performed almost in real time, i.e. every 5 minutes or less. The operating solution found for generators, simply using local information, corresponds to a suboptimal condition with reduced losses, bus voltages and line currents within constrained intervals. The distributed optimization algorithm is iterative, but also fast. It is based on the use of Kirchhoff and simplified power flow equations and heuristic rules and can be employed for islanded and grid connected medium or small networks. Test results on a real world test system, the Savona Campus "Smart Polygeneration Microgrid" (SPM), prove that a few iterations are enough to converge to a sub-optimal solution.
Lingua originaleEnglish
Stato di pubblicazionePublished - 2016

All Science Journal Classification (ASJC) codes

  • Urban Studies
  • Computer Science Applications
  • Computer Networks and Communications

Cita questo

Distributed optimal power flow for islanded microgrids: An application to the Smart Polygeneration Microgrid of the Genoa University. / Buono, L.; Sanseverino, E.; Bracco, S.; Delfino, F.

2016.

Risultato della ricerca: Paper

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abstract = "In this work, the application of an original distributed optimal power flow method to test a microgrid in the Savona area, Italy is proposed. The microgrid shows different types of Distributed Energy Resources (DERs) and is connected to the main grid through a fixed power bus. Due to the high computational speed, the applied distributed Optimal Power Flow can be performed almost in real time, i.e. every 5 minutes or less. The operating solution found for generators, simply using local information, corresponds to a suboptimal condition with reduced losses, bus voltages and line currents within constrained intervals. The distributed optimization algorithm is iterative, but also fast. It is based on the use of Kirchhoff and simplified power flow equations and heuristic rules and can be employed for islanded and grid connected medium or small networks. Test results on a real world test system, the Savona Campus {"}Smart Polygeneration Microgrid{"} (SPM), prove that a few iterations are enough to converge to a sub-optimal solution.",
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T1 - Distributed optimal power flow for islanded microgrids: An application to the Smart Polygeneration Microgrid of the Genoa University

AU - Buono, L.; Sanseverino, E.; Bracco, S.; Delfino, F.

AU - Di Silvestre, Maria Luisa

AU - Riva Sanseverino, Eleonora

PY - 2016

Y1 - 2016

N2 - In this work, the application of an original distributed optimal power flow method to test a microgrid in the Savona area, Italy is proposed. The microgrid shows different types of Distributed Energy Resources (DERs) and is connected to the main grid through a fixed power bus. Due to the high computational speed, the applied distributed Optimal Power Flow can be performed almost in real time, i.e. every 5 minutes or less. The operating solution found for generators, simply using local information, corresponds to a suboptimal condition with reduced losses, bus voltages and line currents within constrained intervals. The distributed optimization algorithm is iterative, but also fast. It is based on the use of Kirchhoff and simplified power flow equations and heuristic rules and can be employed for islanded and grid connected medium or small networks. Test results on a real world test system, the Savona Campus "Smart Polygeneration Microgrid" (SPM), prove that a few iterations are enough to converge to a sub-optimal solution.

AB - In this work, the application of an original distributed optimal power flow method to test a microgrid in the Savona area, Italy is proposed. The microgrid shows different types of Distributed Energy Resources (DERs) and is connected to the main grid through a fixed power bus. Due to the high computational speed, the applied distributed Optimal Power Flow can be performed almost in real time, i.e. every 5 minutes or less. The operating solution found for generators, simply using local information, corresponds to a suboptimal condition with reduced losses, bus voltages and line currents within constrained intervals. The distributed optimization algorithm is iterative, but also fast. It is based on the use of Kirchhoff and simplified power flow equations and heuristic rules and can be employed for islanded and grid connected medium or small networks. Test results on a real world test system, the Savona Campus "Smart Polygeneration Microgrid" (SPM), prove that a few iterations are enough to converge to a sub-optimal solution.

UR - http://hdl.handle.net/10447/326461

UR - https://ieeexplore.ieee.org/document/7580793

M3 - Paper

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