Intervention Scheme Based Heuristic Optimizer for Online Reactive Power Management

Deesh Dileep, Jose Luis Rueda Torres, Rosanna Loor

Research output: Chapter in Book/Conference proceedings/Edited volumeConference contributionScientificpeer-review

Abstract

This paper introduces a metaheuristic Intervention Scheme Based Mean Variance Mapping Optimization (MVMO-IB) algorithm for solving the Optimal Reactive Power Management (ORPM) problem. The intervention scheme, objectives and constraints used in the MVMO-IB have been derived through surveys conducted at transmission system control center and are supported using literature. Contingency analysis feature has also been included in the solver. The solver is capable of searching solutions for optimization variables of continuous, discrete and binary types. Simulation based studies are conducted on an 80-bus power system divided into three areas. Evaluations based on convergence speed, optimal solutions and closeness of results obtained through industrialized linear programming optimization solver are provided. Results show that MVMO-IB can be used to solve ORPM in the system operations domain.
Original languageEnglish
Title of host publication2017 IEEE PES Innovative Smart Grid Technologies Conference - Latin America (ISGT Latin America)
Place of PublicationPiscataway, NJ
PublisherIEEE
Pages1-6
Number of pages6
ISBN (Electronic)978-1-5386-3312-0
DOIs
Publication statusPublished - 2017
Event2017 IEEE PES Innovative Smart Grid Technologies Conference - Latin America - JW Marriott Hotel, Quito, Ecuador
Duration: 20 Sep 201722 Sep 2017
http://ieee-isgt-latam.org/files/2017/08/Technical-Program_IEEE_ISGT_LA_2017.pdf

Conference

Conference2017 IEEE PES Innovative Smart Grid Technologies Conference - Latin America
Abbreviated title2017 ISGT Latin America
CountryEcuador
CityQuito
Period20/09/1722/09/17
Internet address

Keywords

  • voltage control
  • reactive power
  • optimization
  • heuristic algorithms
  • system operations
  • mean variance mapping optimization

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