Title :
Outage cost oriented maintenance strategies of outgoing feeders in transmission systems
Author :
Fleckenstein, Marco ; Balzer, Gerd
Author_Institution :
Inst. of Electr. Power & Energy, Tech. Univ. Darmstadt, Darmstadt, Germany
Abstract :
The near-perfect performance of the 380 kV transmission network is one of the major reasons in the highly reliable electrical energy supply in Germany. But due to the sustained cost pressures for transmission system operators the operational expenditures must be reduced in order remaining competitive. A changeover from a usual time-oriented to a risk-based maintenance is more and more often on the agenda. In this paper a method is presented which generates risk-based maintenance strategies for overhead lines and their connecting outgoing feeder in a German 380 kV extra high voltage transmission system with the target operative risk costs reduction. The origin of this strategy is the determination of the importance of the different routes for an unrestricted functionality of the transmission system. This method takes into account standard as well as log-normal distributions of age-dependent reliability behavior of the assets, bay configurations and different load conditions of the transmission network in the 380 kV level. Furthermore a Monte Carlo simulation is used for creating combinations of financial and technical data. Finally, an extreme clipping of extraordinary combinations is performed with the value at risk method.
Keywords :
Monte Carlo methods; log normal distribution; power overhead lines; transmission networks; Germany; Monte Carlo simulation; age-dependent reliability; extra high voltage transmission system; log-normal distributions; overhead lines; risk method; risk-based maintenance strategy; target operative risk costs reduction; transmission network; voltage 380 kV; Availability; Circuit breakers; Maintenance engineering; Power generation; Reactive power; Standards; Asset management; Maintenance; Monte Carlo Simulation; Reliabilty;
Conference_Titel :
Probabilistic Methods Applied to Power Systems (PMAPS), 2014 International Conference on
Conference_Location :
Durham
DOI :
10.1109/PMAPS.2014.6960606