Metaheuristic Approach for Online Optimal Reactive Power Management in Near-Shore Wind Power Plants

J.L. Rueda Torres, A.M. Theologi, M. Ndreko, I. Erlich, P. Palensky

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

3 Citations (Scopus)

Abstract

Mean-variance mapping optimization (MVMO) is an emerging metaheuristic optimization algorithm, whose evolutionary mechanism performs within a normalized search space. The most remarkable aspect of this mechanism resides in the application of a special mapping function to generate new values of the optimization variables based on their statistical significance throughout the search process. This paper concerns with the feasibility of the MVMO to tackle the problem of online optimal reactive power management in near-shore wind power plants. The main challenges reside in the restricted computing budget and mix-integer nature of the problem. To this aim, MVMO is configured to evolve a single solution throughout the search process, and a new mapping function is proposed to improve the global search capability. Numerical tests on a benchmark system proposed by the IEEE Working Group on Modern Heuristic Optimization as well as a real world wind power plant demonstrate the effectiveness of MVMO.
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

  • Metaheuristic Optimization
  • Reactive Power Control
  • Wind Power Plant
  • On-Load Tap Changer
  • Mean-Variance Mapping Optimization

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    Rueda Torres, J. L., Theologi, A. M., Ndreko, M., Erlich, I., & Palensky, P. (2017). Metaheuristic Approach for Online Optimal Reactive Power Management in Near-Shore Wind Power Plants. In 2017 IEEE PES Innovative Smart Grid Technologies Conference - Latin America (ISGT Latin America) (pp. 1-6). IEEE. https://doi.org/10.1109/ISGT-LA.2017.8126706