Decision support program for congestion management using demand side flexibility

Ayman Esmat; Pierre Pinson; Julio Usaola

doi:10.1109/PTC.2017.7980976

Decision support program for congestion management using demand side flexibility

Ayman Esmat, Pierre Pinson, Julio Usaola

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

Abstract

In the past decades, Distribution System Operators (DSOs) have been mitigating distribution networks (DNs) contingencies by opting to grid reinforcements. However, this approach is not always cost and time efficient. Demand Side Flexibility (DSF) is one of the recent alternatives used in DNs congestion management. Consequently, new market players such as aggregators are needed to handle DSF transaction between customers and DSOs. This paper proposes and models a decision support program (DSP) to optimize the total cost charged by the DSO for using DSF services. Moreover, the energy rebound effect is taken into consideration as well as the uncertain behavior of customers. Finally, the distribution grid of the Danish Bornholm Island is used to illustrate the merits of the DSP. The total cost incurred by the DSO is calculated and presented.

Original language	English
Title of host publication	Proceedings of 2017 IEEE Manchester PowerTech
Number of pages	6
Publisher	IEEE
Publication date	2017
DOIs	https://doi.org/10.1109/PTC.2017.7980976
Publication status	Published - 2017
Event	12th IEEE Power and Energy Society PowerTech Conference: Towards and Beyond Sustainable Energy Systems - University Place, University of Manchester., Manchester, United Kingdom Duration: 18 Jun 2017 → 22 Jun 2017

Conference

Conference	12th IEEE Power and Energy Society PowerTech Conference
Location	University Place, University of Manchester.
Country	United Kingdom
City	Manchester
Period	18/06/2017 → 22/06/2017

Keywords

Congestion Management
Decision Support Program
Demand Side Flexibility
Rebound Effect

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Cite this

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title = "Decision support program for congestion management using demand side flexibility",

abstract = "In the past decades, Distribution System Operators (DSOs) have been mitigating distribution networks (DNs) contingencies by opting to grid reinforcements. However, this approach is not always cost and time efficient. Demand Side Flexibility (DSF) is one of the recent alternatives used in DNs congestion management. Consequently, new market players such as aggregators are needed to handle DSF transaction between customers and DSOs. This paper proposes and models a decision support program (DSP) to optimize the total cost charged by the DSO for using DSF services. Moreover, the energy rebound effect is taken into consideration as well as the uncertain behavior of customers. Finally, the distribution grid of the Danish Bornholm Island is used to illustrate the merits of the DSP. The total cost incurred by the DSO is calculated and presented.",

keywords = "Congestion Management, Decision Support Program, Demand Side Flexibility, Rebound Effect",

author = "Ayman Esmat and Pierre Pinson and Julio Usaola",

year = "2017",

doi = "10.1109/PTC.2017.7980976",

language = "English",

booktitle = "Proceedings of 2017 IEEE Manchester PowerTech",

publisher = "IEEE",

address = "United States",

note = "12th IEEE Power and Energy Society PowerTech Conference : Towards and Beyond Sustainable Energy Systems, PowerTech Manchester 2017 ; Conference date: 18-06-2017 Through 22-06-2017",

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TY - GEN

T1 - Decision support program for congestion management using demand side flexibility

AU - Esmat, Ayman

AU - Pinson, Pierre

AU - Usaola, Julio

PY - 2017

Y1 - 2017

N2 - In the past decades, Distribution System Operators (DSOs) have been mitigating distribution networks (DNs) contingencies by opting to grid reinforcements. However, this approach is not always cost and time efficient. Demand Side Flexibility (DSF) is one of the recent alternatives used in DNs congestion management. Consequently, new market players such as aggregators are needed to handle DSF transaction between customers and DSOs. This paper proposes and models a decision support program (DSP) to optimize the total cost charged by the DSO for using DSF services. Moreover, the energy rebound effect is taken into consideration as well as the uncertain behavior of customers. Finally, the distribution grid of the Danish Bornholm Island is used to illustrate the merits of the DSP. The total cost incurred by the DSO is calculated and presented.

AB - In the past decades, Distribution System Operators (DSOs) have been mitigating distribution networks (DNs) contingencies by opting to grid reinforcements. However, this approach is not always cost and time efficient. Demand Side Flexibility (DSF) is one of the recent alternatives used in DNs congestion management. Consequently, new market players such as aggregators are needed to handle DSF transaction between customers and DSOs. This paper proposes and models a decision support program (DSP) to optimize the total cost charged by the DSO for using DSF services. Moreover, the energy rebound effect is taken into consideration as well as the uncertain behavior of customers. Finally, the distribution grid of the Danish Bornholm Island is used to illustrate the merits of the DSP. The total cost incurred by the DSO is calculated and presented.

KW - Congestion Management

KW - Decision Support Program

KW - Demand Side Flexibility

KW - Rebound Effect

U2 - 10.1109/PTC.2017.7980976

DO - 10.1109/PTC.2017.7980976

M3 - Article in proceedings

BT - Proceedings of 2017 IEEE Manchester PowerTech

PB - IEEE

T2 - 12th IEEE Power and Energy Society PowerTech Conference

Y2 - 18 June 2017 through 22 June 2017

ER -