Fair Congestion Management in Distribution Systems using Virtual Power Lines

Ruben D. Hernandez; Juan S. Giraldo; Georgios Tsaousoglou; Marcos J. Rider; Nikolaos G. Paterakis

doi:10.1109/SEST50973.2021.9543408

Fair Congestion Management in Distribution Systems using Virtual Power Lines

Ruben D. Hernandez, Juan S. Giraldo, Georgios Tsaousoglou, Marcos J. Rider, Nikolaos G. Paterakis

Mathematics of Operations Research

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review

14 Citations (Scopus)

179 Downloads (Pure)

Abstract

Virtual power lines (VPLs) use utility-scale energy storage systems (ESS), acting as an alternative to reinforcing or building new infrastructure in congested transmission or distribution systems. This paper proposes a mathematical programming model for the congestion management of distribution systems by VPLs' optimal operation considering voltage and current magnitude operational limits. The model considers ESS and the optimal operation of lines' switches to minimize the energy curtailment among system nodes. The proposed formulation considers demand response and curtailment in photovoltaic (PV) generation, while facilitating the nodes' collective participation by adopting a Rawlsian social choice function. The model is cast as a mixed-integer second-order cone programming problem and is tested on a radial 34-node test system. Results showed a reduction of the curtailed energy from loads of more than 40% and from PVs of more than 75% using VPLs, while the fairness of the decisions was evaluated using Jain's index.

Original language	English
Title of host publication	2021 International Conference on Smart Energy Systems and Technologies (SEST)
Publisher	IEEE
ISBN (Electronic)	978-1-7281-7660-4
ISBN (Print)	978-1-7281-7661-1
DOIs	https://doi.org/10.1109/SEST50973.2021.9543408
Publication status	Published - 27 Sept 2021

Keywords

2022 OA procedure
Congestion management
Energy storage
Electrical distribution systems
Rawlsian social choice function
Virtual power lines

UN SDGs

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

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Hernandez-2021-FairFinal published version, 6.05 MBLicence: Taverne

Cite this

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title = "Fair Congestion Management in Distribution Systems using Virtual Power Lines",

abstract = "Virtual power lines (VPLs) use utility-scale energy storage systems (ESS), acting as an alternative to reinforcing or building new infrastructure in congested transmission or distribution systems. This paper proposes a mathematical programming model for the congestion management of distribution systems by VPLs' optimal operation considering voltage and current magnitude operational limits. The model considers ESS and the optimal operation of lines' switches to minimize the energy curtailment among system nodes. The proposed formulation considers demand response and curtailment in photovoltaic (PV) generation, while facilitating the nodes' collective participation by adopting a Rawlsian social choice function. The model is cast as a mixed-integer second-order cone programming problem and is tested on a radial 34-node test system. Results showed a reduction of the curtailed energy from loads of more than 40% and from PVs of more than 75% using VPLs, while the fairness of the decisions was evaluated using Jain's index.",

keywords = "2022 OA procedure, Congestion management, Energy storage, Electrical distribution systems, Rawlsian social choice function, Virtual power lines",

author = "Hernandez, {Ruben D.} and Giraldo, {Juan S.} and Georgios Tsaousoglou and Rider, {Marcos J.} and Paterakis, {Nikolaos G.}",

year = "2021",

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doi = "10.1109/SEST50973.2021.9543408",

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T1 - Fair Congestion Management in Distribution Systems using Virtual Power Lines

AU - Hernandez, Ruben D.

AU - Giraldo, Juan S.

AU - Tsaousoglou, Georgios

AU - Rider, Marcos J.

AU - Paterakis, Nikolaos G.

PY - 2021/9/27

Y1 - 2021/9/27

N2 - Virtual power lines (VPLs) use utility-scale energy storage systems (ESS), acting as an alternative to reinforcing or building new infrastructure in congested transmission or distribution systems. This paper proposes a mathematical programming model for the congestion management of distribution systems by VPLs' optimal operation considering voltage and current magnitude operational limits. The model considers ESS and the optimal operation of lines' switches to minimize the energy curtailment among system nodes. The proposed formulation considers demand response and curtailment in photovoltaic (PV) generation, while facilitating the nodes' collective participation by adopting a Rawlsian social choice function. The model is cast as a mixed-integer second-order cone programming problem and is tested on a radial 34-node test system. Results showed a reduction of the curtailed energy from loads of more than 40% and from PVs of more than 75% using VPLs, while the fairness of the decisions was evaluated using Jain's index.

AB - Virtual power lines (VPLs) use utility-scale energy storage systems (ESS), acting as an alternative to reinforcing or building new infrastructure in congested transmission or distribution systems. This paper proposes a mathematical programming model for the congestion management of distribution systems by VPLs' optimal operation considering voltage and current magnitude operational limits. The model considers ESS and the optimal operation of lines' switches to minimize the energy curtailment among system nodes. The proposed formulation considers demand response and curtailment in photovoltaic (PV) generation, while facilitating the nodes' collective participation by adopting a Rawlsian social choice function. The model is cast as a mixed-integer second-order cone programming problem and is tested on a radial 34-node test system. Results showed a reduction of the curtailed energy from loads of more than 40% and from PVs of more than 75% using VPLs, while the fairness of the decisions was evaluated using Jain's index.

KW - 2022 OA procedure

KW - Congestion management

KW - Energy storage

KW - Electrical distribution systems

KW - Rawlsian social choice function

KW - Virtual power lines

U2 - 10.1109/SEST50973.2021.9543408

DO - 10.1109/SEST50973.2021.9543408

M3 - Conference contribution

SN - 978-1-7281-7661-1

BT - 2021 International Conference on Smart Energy Systems and Technologies (SEST)

PB - IEEE

ER -

Fair Congestion Management in Distribution Systems using Virtual Power Lines

Abstract

Keywords

UN SDGs

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