Decentralized Optimal Power Flow Under Security Constraints

Ilgiz Murzakhanov, Elena Gryazina, Meisam Farrokhifar

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

Abstract

Historically, power systems were dispatched in a centralized way when all control actions are processed from one control center. However, centralized optimization is not applicable for large interconnected power systems of several independent Transmission System Operators (TSOs) due to the enormous size of the optimization problem and the tendency of each TSO to preserve the autonomy of own controlled area and secure primary data. Alternatively, there are two approaches to solve the problem: decentralized and distributed. This paper presents the advantages and drawbacks of methods in each group as well as numerical results of subgradient and interior point methods performance. The distributed optimization by subgradient method is carried out with the use of Python and RastrWin, which is the main program of System Operator in Russia. The decentralized optimization by interior point method is more appropriate to Super Grid projects than the subgradient method due to faster convergence and no need of the central coordinator. Both methods are implemented on 14 and 118 bus IEEE systems and mutually compared by the objective function value, the number of iterations and computation time.

Original languageEnglish
Title of host publicationProceedings of the 1st IEEE 2019 International Youth Conference on Radio Electronics, Electrical and Power Engineering, REEPE 2019
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781538693346
DOIs
Publication statusPublished - 6 May 2019
Event1st IEEE International Youth Conference on Radio Electronics, Electrical and Power Engineering, REEPE 2019 - Moscow, Russian Federation
Duration: 14 Mar 201915 Mar 2019

Publication series

NameProceedings of the 1st IEEE 2019 International Youth Conference on Radio Electronics, Electrical and Power Engineering, REEPE 2019

Conference

Conference1st IEEE International Youth Conference on Radio Electronics, Electrical and Power Engineering, REEPE 2019
Country/TerritoryRussian Federation
CityMoscow
Period14/03/1915/03/19

Keywords

  • decentralized optimization
  • distributed optimization
  • interior point method
  • optimal power flow
  • subgradient method

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