The company “Rosseti Centre and Volga Region” (the marketing brand of IDGC of Centre and Volga Region, PJSC) and JSC ROTEC signed an agreement on the implementation of the PRANA predictive analytics and remote monitoring system to increase the safety and reliability of power grid equipment.
Signatures under the document in the presence of the Chairman of the Energy Committee of the State Duma of the Russian Federation Pavel Zavalny and the head of Rosseti’s Group Pavel Livinskiy were put by General Director of IDGC of Centre, which is the managing body of IDGC of Centre and Volga Region, Igor Makovskiy and CEO ROTEK Ivan Panasyuk.
The implementation of the predictive analytics system at facilities of PJSC Rosseti creates the basis for transition to maintenance of equipment according to its technical condition. This step will make it possible to make production processes transparent for all levels of management, gain additional control over maintenance costs and an independent assessment of the quality of work performed, as well as reduce electric energy losses, increasing the reliability of power supply and strengthening the stability of the financial and economic situation of power grid companies of the group.
At the first stage, feeding centres of the Udmurt branch of Rosseti Centre and Volga Region, the 110 kV “Kalashnikov” substation and the 110 kV “Pazely” substation, as well as equipment of the 35 kV “Airport” supply substation, will be connected to the PRANA System.
Until 2023, it is planned to connect equipment of supply centres of production units “Central Electric Grids, “Southern Electric Grids” and “Glazov Electric Grids” in the Republic of Udmurtia.
PRANA is the only Russian predictive analytics system that has been in commercial operation for more than 5 years; it has allowed digitalization of a significant number of power units and fuel and energy facilities in Russia and Kazakhstan. To date, the PRANA System has been installed on basic power equipment with a total capacity of more than 3.5 GW and a cost of $5 billion.