DOI QR코드

DOI QR Code

송전제약과 등가운전시간을 고려한 장기 예방정비계획 최적화에 관한 연구

Optimization of Long-term Generator Maintenance Scheduling considering Network Congestion and Equivalent Operating Hours

  • Shin, Hansol (Dept. of Electrical and Computer Engineering, Pusan National University) ;
  • Kim, Hyoungtae (Dept. of Electrical and Computer Engineering, Pusan National University) ;
  • Lee, Sungwoo (Dept. of Electrical and Computer Engineering, Pusan National University) ;
  • Kim, Wook (Dept. of Electrical and Computer Engineering, Pusan National University)
  • 투고 : 2016.11.15
  • 심사 : 2017.01.20
  • 발행 : 2017.02.01

초록

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.

키워드

참고문헌

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