Distributed energy resources scheduling considering real-time resources forecast

M. Silva; T. Sousa; S. Ramos; Z. Vale; Hugo Morais

doi:10.1109/pesgm.2014.6939884

Distributed energy resources scheduling considering real-time resources forecast

M. Silva
, T. Sousa
, S. Ramos
, Z. Vale
, Hugo Morais

Instituto Superior de Engenharia do Porto

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

Abstract

Energy resource scheduling is becoming increasingly important, such as the use of more distributed generators and electric vehicles connected to the distribution network. This paper proposes a methodology to be used by Virtual Power Players (VPPs), regarding the energy resource scheduling in smart grids and considering day-ahead, hour-ahead and realtime time horizons. This method considers that energy resources are managed by a VPP which establishes contracts with their owners. The full AC power flow calculation included in the model takes into account network constraints. In this paper, distribution function errors are used to simulate variations between time horizons, and to measure the performance of the proposed methodology. A 33-bus distribution network with large number of distributed resources is used.

Original language	English
Title of host publication	Proceedings of 2014 IEEE PES General Meeting, Conference & Exposition
Number of pages	5
Publisher	IEEE
Publication date	2014
Article number	6939884
ISBN (Electronic)	9781479964154
DOIs	https://doi.org/10.1109/pesgm.2014.6939884
Publication status	Published - 2014
Event	2014 IEEE PES General Meeting - National Harbor, Washington, United States Duration: 27 Jul 2014 → 31 Jul 2014

Conference

Conference	2014 IEEE PES General Meeting
Location	National Harbor
Country/Territory	United States
City	Washington
Period	27/07/2014 → 31/07/2014

UN SDGs

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

SDG 7 Affordable and Clean Energy

Keywords

Distributed Energy Resources
Energy Resource Management
Smart Grid
Virtual Power Player

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10.1109/pesgm.2014.6939884

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@inproceedings{15041ab803f94ca9aeb62ff60f3390dc,

title = "Distributed energy resources scheduling considering real-time resources forecast",

abstract = "Energy resource scheduling is becoming increasingly important, such as the use of more distributed generators and electric vehicles connected to the distribution network. This paper proposes a methodology to be used by Virtual Power Players (VPPs), regarding the energy resource scheduling in smart grids and considering day-ahead, hour-ahead and realtime time horizons. This method considers that energy resources are managed by a VPP which establishes contracts with their owners. The full AC power flow calculation included in the model takes into account network constraints. In this paper, distribution function errors are used to simulate variations between time horizons, and to measure the performance of the proposed methodology. A 33-bus distribution network with large number of distributed resources is used.",

keywords = "Distributed Energy Resources, Energy Resource Management, Smart Grid, Virtual Power Player",

author = "M. Silva and T. Sousa and S. Ramos and Z. Vale and Hugo Morais",

year = "2014",

doi = "10.1109/pesgm.2014.6939884",

language = "English",

booktitle = "Proceedings of 2014 IEEE PES General Meeting, Conference \& Exposition",

publisher = "IEEE",

address = "United States",

note = "2014 IEEE PES General Meeting ; Conference date: 27-07-2014 Through 31-07-2014",

}

TY - GEN

T1 - Distributed energy resources scheduling considering real-time resources forecast

AU - Silva, M.

AU - Sousa, T.

AU - Ramos, S.

AU - Vale, Z.

AU - Morais, Hugo

PY - 2014

Y1 - 2014

N2 - Energy resource scheduling is becoming increasingly important, such as the use of more distributed generators and electric vehicles connected to the distribution network. This paper proposes a methodology to be used by Virtual Power Players (VPPs), regarding the energy resource scheduling in smart grids and considering day-ahead, hour-ahead and realtime time horizons. This method considers that energy resources are managed by a VPP which establishes contracts with their owners. The full AC power flow calculation included in the model takes into account network constraints. In this paper, distribution function errors are used to simulate variations between time horizons, and to measure the performance of the proposed methodology. A 33-bus distribution network with large number of distributed resources is used.

AB - Energy resource scheduling is becoming increasingly important, such as the use of more distributed generators and electric vehicles connected to the distribution network. This paper proposes a methodology to be used by Virtual Power Players (VPPs), regarding the energy resource scheduling in smart grids and considering day-ahead, hour-ahead and realtime time horizons. This method considers that energy resources are managed by a VPP which establishes contracts with their owners. The full AC power flow calculation included in the model takes into account network constraints. In this paper, distribution function errors are used to simulate variations between time horizons, and to measure the performance of the proposed methodology. A 33-bus distribution network with large number of distributed resources is used.

KW - Distributed Energy Resources

KW - Energy Resource Management

KW - Smart Grid

KW - Virtual Power Player

U2 - 10.1109/pesgm.2014.6939884

DO - 10.1109/pesgm.2014.6939884

M3 - Article in proceedings

BT - Proceedings of 2014 IEEE PES General Meeting, Conference & Exposition

PB - IEEE

T2 - 2014 IEEE PES General Meeting

Y2 - 27 July 2014 through 31 July 2014

ER -

Distributed energy resources scheduling considering real-time resources forecast

Abstract

Conference

UN SDGs

Keywords

Access to Document

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