The developed methods have been tested and improved in two case studies, based on real
systems and data, proving the methods’ usefulness and showing that they are ready to be
applied to power distribution systems. It is in addition noted that the methods could, with some
modifications, be applied to other types of infrastructures. However, in order to perform the
optimization, a reliability model of the studied power system is required, as well as estimates
on effects of maintenance actions (changes in failure rate) and their related costs. Given this, a
generally decreased level of total maintenance cost and a better system reliability performance
can be given to the DSO and customers respectively. This is achieved by focusing the
preventive maintenance to components with a high potential for improvement from system
perspective.