Multi-stage congestion management considering maximum lead time and voltage-dependent load models

D. Fang, M. Zou, J. Gunda, G. Harrison, S. Z. Djokic, A. Vaccaro

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

This paper presents a multi-stage optimal power flow (OPF) approach for efficient management of contingencies, in which dynamic thermal models of overhead lines and power transformers are used to evaluate maximum lead time (MLT) available to network operators to resolve violated post-contingency constraints. At the first stage, optimal settings of volt-var controls, such as transformers with on-load tap changers and shunt capacitors, are selected, taking into account voltage-dependent load models. The second stage provides optimal generation re-dispatch, including fast-start generators. At the final third stage, optimal load shedding is implemented to clear all remaining constraint violations. The OPF problem is solved by a hybrid metaheuristics method and illustrated on a modified IEEE 14-bus network. Obtained results demonstrate that presented method can help network operators to efficiently resolve all violated constraints within the available MLT.

Original languageEnglish
Title of host publication2020 IEEE PES Innovative Smart Grid Technologies Europe (ISGT-Europe)
PublisherIEEE
Pages1000-1004
Number of pages5
ISBN (Electronic)9781728171005
DOIs
Publication statusPublished - 10 Nov 2020
Event10th IEEE PES Innovative Smart Grid Technologies Europe, ISGT-Europe 2020 - Delft, Netherlands
Duration: 26 Oct 202028 Oct 2020

Publication series

NameIEEE PES Innovative Smart Grid Technologies Conference Europe
Volume2020-October

Conference

Conference10th IEEE PES Innovative Smart Grid Technologies Europe, ISGT-Europe 2020
Country/TerritoryNetherlands
CityDelft
Period26/10/2028/10/20

Keywords

  • Congestion management
  • Maximum lead time
  • Optimal power flow
  • Volt-var control
  • Voltage-dependent load

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