Energy resource management under the influence of the weekend transition considering an intensive use of electric vehicles

T. Sousa; Hugo Morais; T. Pinto; Z. Vale

doi:10.1109/psc.2015.7101684

Energy resource management under the influence of the weekend transition considering an intensive use of electric vehicles

T. Sousa, Hugo Morais, T. Pinto, Z. Vale

Polytechnic Institute of Porto

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

Abstract

Energy resource scheduling is becoming increasingly important, as the use of distributed resources is intensified and of massive electric vehicle is envisaged. The present paper proposes a methodology for day-ahead energy resource scheduling for smart grids considering the intensive use of distributed generation and Vehicle-to-Grid (V2G). This method considers that the energy resources are managed by a Virtual Power Player (VPP) which established contracts with their owners. It takes into account these contracts, the users' requirements subjected to the VPP, and several discharge price steps. The full AC power flow calculation included in the model takes into account network constraints. The influence of the successive day requirements on the day-ahead optimal solution is discussed and considered in the proposed model. A case study with a 33-bus distribution network and V2G is used to illustrate the good performance of the proposed method.

Original language	English
Title of host publication	Proceedings of 2015 Clemson University Power Systems Conference
Publisher	IEEE
Publication date	2015
Article number	7101684
ISBN (Print)	9781479919512
DOIs	https://doi.org/10.1109/psc.2015.7101684
Publication status	Published - 2015
Event	2015 Clemson University Power Systems Conference - Clemson, United States Duration: 10 Mar 2015 → 13 Mar 2015

Conference

Conference	2015 Clemson University Power Systems Conference
Country/Territory	United States
City	Clemson
Period	10/03/2015 → 13/03/2015

Keywords

Computer Science Applications
Signal Processing
Electrical and Electronic Engineering
Energy Engineering and Power Technology
Renewable Energy, Sustainability and the Environment
Day-ahead scheduling
electric vehicle
Energy resource management
vehicle-to-grid
virtual power player
Electric discharges
Electric load flow
Electric power transmission networks
Electric vehicles
Energy resources
Natural resources management
Resource allocation
Scheduling
Vehicles
Distributed resources
Energy resource managements
Network constraints
Vehicle to Grid (V2G)
Vehicle to grids
Virtual power players
Virtual power players (VPP)
Smart power grids

UN SDGs

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

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10.1109/psc.2015.7101684

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Cite this

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title = "Energy resource management under the influence of the weekend transition considering an intensive use of electric vehicles",

abstract = "Energy resource scheduling is becoming increasingly important, as the use of distributed resources is intensified and of massive electric vehicle is envisaged. The present paper proposes a methodology for day-ahead energy resource scheduling for smart grids considering the intensive use of distributed generation and Vehicle-to-Grid (V2G). This method considers that the energy resources are managed by a Virtual Power Player (VPP) which established contracts with their owners. It takes into account these contracts, the users' requirements subjected to the VPP, and several discharge price steps. The full AC power flow calculation included in the model takes into account network constraints. The influence of the successive day requirements on the day-ahead optimal solution is discussed and considered in the proposed model. A case study with a 33-bus distribution network and V2G is used to illustrate the good performance of the proposed method.",

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author = "T. Sousa and Hugo Morais and T. Pinto and Z. Vale",

year = "2015",

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language = "English",

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booktitle = "Proceedings of 2015 Clemson University Power Systems Conference",

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address = "United States",

note = "2015 Clemson University Power Systems Conference, PSC 2015 ; Conference date: 10-03-2015 Through 13-03-2015",

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Sousa, T, Morais, H, Pinto, T & Vale, Z 2015, Energy resource management under the influence of the weekend transition considering an intensive use of electric vehicles. in Proceedings of 2015 Clemson University Power Systems Conference., 7101684, IEEE, 2015 Clemson University Power Systems Conference, Clemson, South Carolina, United States, 10/03/2015. https://doi.org/10.1109/psc.2015.7101684

Energy resource management under the influence of the weekend transition considering an intensive use of electric vehicles. / Sousa, T.; Morais, Hugo; Pinto, T. et al.
Proceedings of 2015 Clemson University Power Systems Conference. IEEE, 2015. 7101684.

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

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N2 - Energy resource scheduling is becoming increasingly important, as the use of distributed resources is intensified and of massive electric vehicle is envisaged. The present paper proposes a methodology for day-ahead energy resource scheduling for smart grids considering the intensive use of distributed generation and Vehicle-to-Grid (V2G). This method considers that the energy resources are managed by a Virtual Power Player (VPP) which established contracts with their owners. It takes into account these contracts, the users' requirements subjected to the VPP, and several discharge price steps. The full AC power flow calculation included in the model takes into account network constraints. The influence of the successive day requirements on the day-ahead optimal solution is discussed and considered in the proposed model. A case study with a 33-bus distribution network and V2G is used to illustrate the good performance of the proposed method.

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KW - virtual power player

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ER -

Energy resource management under the influence of the weekend transition considering an intensive use of electric vehicles

Abstract

Conference

Keywords

UN SDGs

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