Distributed Flexibility Management Targeting Energy Cost and Total Power Limitations in Electricity Distribution Grids

Sanford Bessler, Mohammed Seifu Kemal, Nuno Silva, Rasmus Løvenstein Olsen, Florin Iov, Domagoj Drenjanac, Hans-Peter Schwefel

Research output: Contribution to journalJournal articleResearchpeer-review

6 Citations (Scopus)

Abstract

Demand Management uses the interaction and information exchange between multiple control functions in order to achieve goals that can vary in different application contexts. Since there are several stakeholders involved, these may have diverse objectives and even use different architectures to actively manage power demand. This paper utilizes an existing distributed demand management architecture in order to provide the following contributions: (1) It develops and evaluates a set of algorithms that combine the optimization of energy costs in scenarios of variable day-ahead prices with the goal to improve distribution grid operation reliability, here implemented by a total Power limit. (2) It evaluates the proposed scheme as a distributed system where flexibility information is exchanged with the existing industry standard OpenADR. A Hardware-in-the-Loop testbed realization demonstrates the convergence and effectiveness of the approach and quantitatively shows a power quality improvement in the distribution grid.
Original languageEnglish
JournalSustainable Energy, Grids and Networks
Volume14
Pages (from-to)35-46
Number of pages12
ISSN2352-4677
DOIs
Publication statusPublished - 1 Jun 2018

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Electricity
Power quality
Testbeds
Computer hardware
Costs
Industry

Keywords

  • Demand Management Algorithms, Distribution Grid Management, Communication Protocols, Distributed System, Testbed Evaluation

Cite this

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title = "Distributed Flexibility Management Targeting Energy Cost and Total Power Limitations in Electricity Distribution Grids",
abstract = "Demand Management uses the interaction and information exchange between multiple control functions in order to achieve goals that can vary in different application contexts. Since there are several stakeholders involved, these may have diverse objectives and even use different architectures to actively manage power demand. This paper utilizes an existing distributed demand management architecture in order to provide the following contributions: (1) It develops and evaluates a set of algorithms that combine the optimization of energy costs in scenarios of variable day-ahead prices with the goal to improve distribution grid operation reliability, here implemented by a total Power limit. (2) It evaluates the proposed scheme as a distributed system where flexibility information is exchanged with the existing industry standard OpenADR. A Hardware-in-the-Loop testbed realization demonstrates the convergence and effectiveness of the approach and quantitatively shows a power quality improvement in the distribution grid.",
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Distributed Flexibility Management Targeting Energy Cost and Total Power Limitations in Electricity Distribution Grids. / Bessler, Sanford; Kemal, Mohammed Seifu; Silva, Nuno ; Olsen, Rasmus Løvenstein; Iov, Florin; Drenjanac, Domagoj; Schwefel, Hans-Peter.

In: Sustainable Energy, Grids and Networks, Vol. 14, 01.06.2018, p. 35-46.

Research output: Contribution to journalJournal articleResearchpeer-review

TY - JOUR

T1 - Distributed Flexibility Management Targeting Energy Cost and Total Power Limitations in Electricity Distribution Grids

AU - Bessler, Sanford

AU - Kemal, Mohammed Seifu

AU - Silva, Nuno

AU - Olsen, Rasmus Løvenstein

AU - Iov, Florin

AU - Drenjanac, Domagoj

AU - Schwefel, Hans-Peter

PY - 2018/6/1

Y1 - 2018/6/1

N2 - Demand Management uses the interaction and information exchange between multiple control functions in order to achieve goals that can vary in different application contexts. Since there are several stakeholders involved, these may have diverse objectives and even use different architectures to actively manage power demand. This paper utilizes an existing distributed demand management architecture in order to provide the following contributions: (1) It develops and evaluates a set of algorithms that combine the optimization of energy costs in scenarios of variable day-ahead prices with the goal to improve distribution grid operation reliability, here implemented by a total Power limit. (2) It evaluates the proposed scheme as a distributed system where flexibility information is exchanged with the existing industry standard OpenADR. A Hardware-in-the-Loop testbed realization demonstrates the convergence and effectiveness of the approach and quantitatively shows a power quality improvement in the distribution grid.

AB - Demand Management uses the interaction and information exchange between multiple control functions in order to achieve goals that can vary in different application contexts. Since there are several stakeholders involved, these may have diverse objectives and even use different architectures to actively manage power demand. This paper utilizes an existing distributed demand management architecture in order to provide the following contributions: (1) It develops and evaluates a set of algorithms that combine the optimization of energy costs in scenarios of variable day-ahead prices with the goal to improve distribution grid operation reliability, here implemented by a total Power limit. (2) It evaluates the proposed scheme as a distributed system where flexibility information is exchanged with the existing industry standard OpenADR. A Hardware-in-the-Loop testbed realization demonstrates the convergence and effectiveness of the approach and quantitatively shows a power quality improvement in the distribution grid.

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DO - 10.1016/j.segan.2018.03.001

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JO - Sustainable Energy, Grids and Networks

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SN - 2352-4677

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