User friendly generator maintenance scheduling simulation system based on probabilistic methodology

摘要

This study develops alternative user friendly generator maintenance scheduling(GMS) considering not only probabilistic reliability maximization but also probabilistic production cost minimization. Furthermore, the proposed GMS system has various kinds of objective functions as like as CO2 minimization. The probabilistic reliability objective includes LOLE(Loss of load expectation), EENS(Expected energy not served) and EIR(Energy index of reliability). Production cost is evaluated with consideration of uncertainties of generators. In actual system case study describes effectiveness and user friendly of generator maintenance scheduling simulation systems proposed in this paper. Additionally, the practicality and effectiveness of the proposed approach are demonstrated in the simulation for a real-size power system model in Korea South-East Power CO.(KOEN).