Abstract
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.
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Acknowledgment
This work was supported by the Korean National Research Foundation (NRF) (No.#2012R1A2A2A01012803) and Korea South-East Power Co. (KOEN)
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Lee, Y., Choi, J., Jung, M., Watada, J. (2018). GUI of GMS Simulation Tool Using Fuzzy Methods. In: Pan, JS., Tsai, PW., Watada, J., Jain, L. (eds) Advances in Intelligent Information Hiding and Multimedia Signal Processing. IIH-MSP 2017. Smart Innovation, Systems and Technologies, vol 82. Springer, Cham. https://doi.org/10.1007/978-3-319-63859-1_42
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DOI: https://doi.org/10.1007/978-3-319-63859-1_42
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