A fuzzy-rule based power restoration approach for a distribution system with renewable energies

Hong-Tzer Yang, Jian Tang Liao, Xiang He Su

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

3 Citations (Scopus)

Abstract

Based on heuristic fuzzy rules, a new power restoration approach is presented in this paper. The restoration approach developed can be used to deal with different fault cases in a distribution system (DS) with sources of renewable energies. This paper introduces Load Path as the main framework for restoration. The proposed strategy can achieve the advantages of simple decision criterions, balance of backup feeders, fast execution time, and applicability for different fault cases. Depending on fault situations, the number of load paths is different. With more than two load paths existing, the proposed fuzzy rules infer the best main load path with one of its switches operated as the restoration strategy (RS) for the specific case. To consider the distributed generations (DGs) of renewable energies, the proposed approach has been validated in a test system adapted from Taipower distribution system for different scenario studies.

Original languageEnglish
Title of host publicationFUZZ 2011 - 2011 IEEE International Conference on Fuzzy Systems - Proceedings
Pages2448-2453
Number of pages6
DOIs
Publication statusPublished - 2011 Sep 27
Event2011 IEEE International Conference on Fuzzy Systems, FUZZ 2011 - Taipei, Taiwan
Duration: 2011 Jun 272011 Jun 30

Publication series

NameIEEE International Conference on Fuzzy Systems
ISSN (Print)1098-7584

Other

Other2011 IEEE International Conference on Fuzzy Systems, FUZZ 2011
CountryTaiwan
CityTaipei
Period11-06-2711-06-30

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All Science Journal Classification (ASJC) codes

  • Software
  • Theoretical Computer Science
  • Artificial Intelligence
  • Applied Mathematics

Cite this

Yang, H-T., Liao, J. T., & Su, X. H. (2011). A fuzzy-rule based power restoration approach for a distribution system with renewable energies. In FUZZ 2011 - 2011 IEEE International Conference on Fuzzy Systems - Proceedings (pp. 2448-2453). [6007534] (IEEE International Conference on Fuzzy Systems). https://doi.org/10.1109/FUZZY.2011.6007534