GUI of GMS Simulation Tool Using Fuzzy Methods

  • Yeonchan Lee
  • Jaeseok ChoiEmail author
  • Myeunghoon Jung
  • Junzo Watada
Conference paper
Part of the Smart Innovation, Systems and Technologies book series (SIST, volume 82)


This study used the fuzzy theory for creating preventive maintenance scheduling of generator (GMS). GMS simulation tool is developed in optimum by the CO2 emission, probabilistic production cost, and reliability criteria LOLE(Loss of load expectation), EENS(Expected energy not served) in the objective functions. GMS has shown in graphical user interface (GUI) for the user-friendliness of the generator. It can be resulted in generator maintenance scheduling, reliability indices of power system, total probabilistic production costs and each power company probabilistic production costs.


Simulation tools Fuzzy methods Generator maintenance scheduling 



This work was supported by the Korean National Research Foundation (NRF) (No.#2012R1A2A2A01012803) and Korea South-East Power Co. (KOEN)


  1. 1.
    Choi, J.S.: A study on the generator maintenance scheduling considering load uncertainty & multi-criterion function. EESRI, Final Report (1995)Google Scholar
  2. 2.
    Lee, B.Y., Shim, K.B.: A comparative study on optimal generation maintenance scheduling with marginal maintenance cost and levelized risk method. KIEE 41(1), 9–17 (1992) (written in Koeran)Google Scholar
  3. 3.
    Khatib, H.: Economic Evaluation of Projects in the Electricity Supply Industry. IEEE Power & Energy Series, vol. 44. MPG Books Limited (2003)Google Scholar
  4. 4.
    Kim, H.S., Moon, S.P., Do, D.H., Choi, J.S., Lee, S.Y., Shin, H.K., Kim, S.H., Kim, Y.S.: Generator maintenance scheduling considering air pollution. In: Proceedings on Autumn Meeting of Western Gyeongnam Area of KIEE, pp. 57–60 (1998) (written in Koeran)Google Scholar
  5. 5.
    Park, J., Wu, L., Choi, J., Baek, U.-K., Cho, W., Song, K., Cha, J., Lee, K.Y.: Fuzzy set theory based flexible generator maintenance scheduling. In: ISME 2009 (2009)Google Scholar
  6. 6.
    Park, J., Wu, L., Choi, J., Cha, J., Lee, K.Y.: Fuzzy set theory based on generator maintenance scheduling. In: ISME 2009. Dalian University of Technology, Dalian, China (2009)Google Scholar
  7. 7.
    Park, J., Wu, L., Choi, J., Baek, U.-K., Cho, W., Song, K., Cha, J., Lee, K.Y.: Fuzzy set theory based flexible generator maintenance scheduling. In: ISME 2009, August 5–7 (2009)Google Scholar
  8. 8.
    Oh, T., Park, J., Cho, K., Choi, J., Baek, U., El-Keib, A.A.: Generators maintenance scheduling using combined fuzzy set theory and GA. In: ICEE 2010, Paradise Hotel, Busan, Korea (2010)Google Scholar
  9. 9.
    Hwang, B., Lee, H., Park, K., Shin, Y.: A case study for determining system marginal price in Korea electricity market. In: KIEE 2011, Yongpyong Resort, Korea (2011) (written in Koeran)Google Scholar
  10. 10.
    Lee, Y., Lim, J., Oh, U., Do, D.P.N., Choi, J.: A study on the various objective functions based optimal generator maintenance scheduling in KOSEP. In: IGSC 2015, October 12–14 (2015)Google Scholar
  11. 11.
    Choi, J.: Visual system of probabilistic generator maintenance scheduling considering the various objective functions. In: PMAPS 2016, China (2016)Google Scholar

Copyright information

© Springer International Publishing AG 2018

Authors and Affiliations

  • Yeonchan Lee
    • 1
  • Jaeseok Choi
    • 1
    Email author
  • Myeunghoon Jung
    • 2
  • Junzo Watada
    • 3
  1. 1.Department of Electrical EngineeringGyeongsang National UniversityJinju-siSouth Korea
  2. 2.Korea South-East Power CorporationJinju-siSouth Korea
  3. 3.Department of Computer and Information SciencesSeri IskandarMalaysia

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