Optimal load shedding scheme in power systems based on big bang big crunch method

Fatih Kucuktezcan*, Istemihan Genc

*Corresponding author for this work

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

3 Citations (Scopus)

Abstract

This paper presents a methodology for the design of optimal load shedding against transient instability of power systems. The proposed method is considered as a security constrained, multi dimensional optimization problem which is solved by Big Bang-Big Crunch (BBBC) method. The objective function to be minimized is the total weighted load shedding and the constraints of the optimization are based on stable operation of the power system after a critical contingency occurs and on the shedding limits. During the optimization, the stability statuses of potential solutions are determined by a Probabilistic Neural Network (PNN) instead of using time domain simulations. To investigate the effectiveness of the method, imulations are carried out on the IEEE 163 bus, 17 generator test system and their results are discussed.

Original languageEnglish
Title of host publicationProceedings of the IASTED International Conference on Power and Energy Systems and Applications, PESA 2011
Pages36-42
Number of pages7
DOIs
Publication statusPublished - 2011
EventIASTED International Conference on Power and Energy Systems and Applications, PESA 2011 - Pittsburgh, PA, United States
Duration: 7 Nov 20119 Nov 2011

Publication series

NameProceedings of the IASTED International Conference on Power and Energy Systems and Applications, PESA 2011

Conference

ConferenceIASTED International Conference on Power and Energy Systems and Applications, PESA 2011
Country/TerritoryUnited States
CityPittsburgh, PA
Period7/11/119/11/11

Keywords

  • Transient stability
  • big bang big crunch
  • corrective control
  • load shedding
  • optimization
  • probabilistic neural network

Fingerprint

Dive into the research topics of 'Optimal load shedding scheme in power systems based on big bang big crunch method'. Together they form a unique fingerprint.

Cite this