Calculating power distribution system reliability indexes from Smart Meter data

Electricity is an integral utility in modern society. Electricity networks carry power to various end users, and disruptions cause high socioeconomic cost. Electricity distribution network operators are ranked predominantly on system performance, economic performance and customer satisfaction. System reliability has an impact on all of the above mentioned indicators. High and medium voltage networks are covered with sensors allowing to calculate accurate reliability indexes. Low voltage (LV) grid sensor coverage is yet insufficient, but modern Smart Meters add functionality to gather necessary grid characteristics. Data from various meters can be combined to continuously generate indexes that depict state of the LV network. Calculated indexes enable to prioritize system faults and proactively correct shortcomings of the grid. This paper presents a method to calculate temporospatially disaggregated reliability indexes on all major levels of the LV network which on demand depicts detailed performance assessment of the grid.