Fair Congestion Management in Distribution Systems using Virtual Power Lines

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

Research output: Chapter in Book/Report/Conference proceedingConference contributionAcademicpeer-review

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 languageEnglish
Title of host publication2021 International Conference on Smart Energy Systems and Technologies (SEST)
PublisherIEEE
ISBN (Electronic)978-1-7281-7660-4
DOIs
Publication statusPublished - 27 Sep 2021

Keywords

  • Virtual power lines
  • congestion management
  • Energy storage
  • Electrical distribution systems
  • Rawlsian social choice function

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