Data analytics for AMM data processing
ČEZ Distribuce, a.s.
ČEZ Distribuce, a.s.
ČEZ Distribuce a.s., is the biggest distribution system operator in Czech Republic. It operates 3.5 millions of consumption points, has 46.000 secondary substations and more than 100.000km of low voltage networks.
Measurements of low voltage grid was interesting historicaly just for billing purposes. But history is passed. Solution for full utilisation of smart metering infrastructure is good step in DSOs strategy for managing the grid.
To build a smart metering infrastructure and substation monitoring infrastructure is big investment for DSO. How to get maximal value from these infrastructures? What are possible use-cases of using low voltage measurements for DSO processes optimization? How to effectively monitor such a large metering infrastructures?
Following areas were analysed:
During the project:
New estimation algorithm was designed and tested – is has 15% better precision results than actually used by DSO.
Machine learning algorithm for anomaly detection was successfully tested on smart meter measurements and events concerning tariff and relay switching. Several problems of used meters and concentrators were discovered by using this method.
Smart metering data value metric was designed. It calculates value of collected data and can help to define which data to collect from smart metering.
Algorithm for estimation of the order in which phases are connected at individual connection points was successfully tested.