Day-Ahead Scheduling of a Photovoltaic Plant by the Energy Management of a Storage System

Mattia Marinelli; Fabrizio Sossan; Fridrik Rafn Isleifsson; Giuseppe Tommaso Costanzo; Henrik W. Bindner

doi:10.1109/UPEC.2013.6715023

Day-Ahead Scheduling of a Photovoltaic Plant by the Energy Management of a Storage System

Mattia Marinelli
, Fabrizio Sossan
, Fridrik Rafn Isleifsson
, Giuseppe Tommaso Costanzo
, Henrik W. Bindner

Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review

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Abstract

The paper discusses and describes a system for energy management of a 10 kW PV plant coupled with a 15 kW - 190 kWh storage system. The overall idea is, by knowing the meteorological forecast for the next 24h, to dispatch the PV system and to be able to grant the scheduled hourly energy profile by a proper management of the storage. Due to forecast inaccuracies, the energy manager controls the storage in order to ensure that the plan for hourly energy production is respected, minimizing the storage itself usage. The experimental study is carried out in SYSLAB, a distributed power system test facility at DTU Risø Campus and part of PowerLabDK. Both the PV and the storage are connected to the local network and are fully controllable through the SCADA system. The control
management and the models are implemented in Matlab-Simulink, which can be interfaced with SYSLAB.

Original language	English
Title of host publication	Proceedings of UPEC 2013
Number of pages	6
Publisher	IEEE
Publication date	2013
ISBN (Print)	9781479932542
DOIs	https://doi.org/10.1109/UPEC.2013.6715023
Publication status	Published - 2013
Event	48th Universities' Power Engineering Conference - Dublin Institute of Technology, Dublin, Ireland Duration: 2 Sept 2013 → 5 Sept 2013

Conference

Conference	48th Universities' Power Engineering Conference
Location	Dublin Institute of Technology
Country/Territory	Ireland
City	Dublin
Period	02/09/2013 → 05/09/2013

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 7 Affordable and Clean Energy

Keywords

Energy Management
Energy Storage
Grid Integration
Photovoltaic Power

Access to Document

10.1109/UPEC.2013.6715023

Paper 345 (Supplementary)Submitted manuscript, 452 KB

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Cite this

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title = "Day-Ahead Scheduling of a Photovoltaic Plant by the Energy Management of a Storage System",

abstract = "The paper discusses and describes a system for energy management of a 10 kW PV plant coupled with a 15 kW - 190 kWh storage system. The overall idea is, by knowing the meteorological forecast for the next 24h, to dispatch the PV system and to be able to grant the scheduled hourly energy profile by a proper management of the storage. Due to forecast inaccuracies, the energy manager controls the storage in order to ensure that the plan for hourly energy production is respected, minimizing the storage itself usage. The experimental study is carried out in SYSLAB, a distributed power system test facility at DTU Ris{\o} Campus and part of PowerLabDK. Both the PV and the storage are connected to the local network and are fully controllable through the SCADA system. The control management and the models are implemented in Matlab-Simulink, which can be interfaced with SYSLAB.",

keywords = "Energy Management, Energy Storage, Grid Integration, Photovoltaic Power",

author = "Mattia Marinelli and Fabrizio Sossan and Isleifsson, \{Fridrik Rafn\} and Costanzo, \{Giuseppe Tommaso\} and Bindner, \{Henrik W.\}",

year = "2013",

doi = "10.1109/UPEC.2013.6715023",

language = "English",

isbn = "9781479932542",

booktitle = "Proceedings of UPEC 2013",

publisher = "IEEE",

address = "United States",

note = "48th Universities' Power Engineering Conference, UPEC 2013 ; Conference date: 02-09-2013 Through 05-09-2013",

}

TY - GEN

T1 - Day-Ahead Scheduling of a Photovoltaic Plant by the Energy Management of a Storage System

AU - Marinelli, Mattia

AU - Sossan, Fabrizio

AU - Isleifsson, Fridrik Rafn

AU - Costanzo, Giuseppe Tommaso

AU - Bindner, Henrik W.

PY - 2013

Y1 - 2013

N2 - The paper discusses and describes a system for energy management of a 10 kW PV plant coupled with a 15 kW - 190 kWh storage system. The overall idea is, by knowing the meteorological forecast for the next 24h, to dispatch the PV system and to be able to grant the scheduled hourly energy profile by a proper management of the storage. Due to forecast inaccuracies, the energy manager controls the storage in order to ensure that the plan for hourly energy production is respected, minimizing the storage itself usage. The experimental study is carried out in SYSLAB, a distributed power system test facility at DTU Risø Campus and part of PowerLabDK. Both the PV and the storage are connected to the local network and are fully controllable through the SCADA system. The control management and the models are implemented in Matlab-Simulink, which can be interfaced with SYSLAB.

AB - The paper discusses and describes a system for energy management of a 10 kW PV plant coupled with a 15 kW - 190 kWh storage system. The overall idea is, by knowing the meteorological forecast for the next 24h, to dispatch the PV system and to be able to grant the scheduled hourly energy profile by a proper management of the storage. Due to forecast inaccuracies, the energy manager controls the storage in order to ensure that the plan for hourly energy production is respected, minimizing the storage itself usage. The experimental study is carried out in SYSLAB, a distributed power system test facility at DTU Risø Campus and part of PowerLabDK. Both the PV and the storage are connected to the local network and are fully controllable through the SCADA system. The control management and the models are implemented in Matlab-Simulink, which can be interfaced with SYSLAB.

KW - Energy Management

KW - Energy Storage

KW - Grid Integration

KW - Photovoltaic Power

U2 - 10.1109/UPEC.2013.6715023

DO - 10.1109/UPEC.2013.6715023

M3 - Article in proceedings

SN - 9781479932542

BT - Proceedings of UPEC 2013

PB - IEEE

T2 - 48th Universities' Power Engineering Conference

Y2 - 2 September 2013 through 5 September 2013

ER -

Day-Ahead Scheduling of a Photovoltaic Plant by the Energy Management of a Storage System

Abstract

Conference

UN SDGs

Keywords

Access to Document

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