| Title |
Optimization of Long-term Generator Maintenance Scheduling considering Network Congestion and Equivalent Operating Hours |
| Authors |
신한솔(Shin, Hansol) ; 김형태(Kim, Hyoungtae) ; 이성우(Lee, Sungwoo) ; 김욱(Kim, Wook) |
| DOI |
https://doi.org/10.5370/KIEE.2017.66.2.305 |
| Keywords |
Optimal generator maintenance scheduling ; Equivalent Operating Hours (EOHs) ; Network congestion ; Transmission constraints ; DC power flow ; Transportation model ; K-means clustering |
| Abstract |
Most of the existing researches on systemwide optimization of generator maintenance scheduling do not consider the equivalent operating hours(EOHs) mainly due to the difficulties of calculating the EOHs of the CCGTs in the large scale system. In order to estimate the EOHs not only the operating hours but also the number of start-up/shutdown during the planning period should be estimated, which requires the mathematical model to incorporate the economic dispatch model and unit commitment model. The model is inherently modelled as a large scale mixed-integer nonlinear programming problem and the computation time increases exponentially and intractable as the system size grows. To make the problem tractable, this paper proposes an EOH calculation based on demand grouping by K-means clustering algorithm. Network congestion is also considered in order to improve the accuracy of EOH calculation. This proposed method is applied to the actual Korean electricity market and compared to other existing methods. |