Rosatom facilities launch the 1st Commercial Dispatch system based on intelligent energy storage to reduce electricity costs

Grigory Nazarov, CEO of Atomenergopromsbyt, said:

• The efficient operation of such intelligent storage devices based on price indicators on the market and the consumer's load curve will reduce the cost of purchased electricity (capacity) by up to RUB 1.2 million per month for each MW of the system output capacity
• Currently, there are some more similar projects under development with a total capacity of 3 MW

Commercial dispatching based on an intelligent energy storage system ensures streamlining of the daily electricity consumption schedule and reduction of capacity payments to the energy provider.

Emin Askerov, CEO of RENERA, commented:

• For Commercial Dispatch system, we use the most advanced technological solutions, for example, modern lithium-ion cells capable of fast charging and long-term operation at high load
• It enables us to reduce the battery size and increase the economic efficiency of the project
• In the coming years, energy storage services will be rapidly developing, contributing to growing flexibility of the Russian energy system and reduced carbon footprint

Andrey Bortnikov, Chief power engineer of ZiO-Podolsk, noted:

• The Commercial Dispatch storage equipment is a key tool that allows the consumer to accumulate energy at night and consume it during morning, afternoon or evening peaks
• This operating mode of the power grid increases the number of hours for using the declared capacity by transferring a part of the main consumption load outside the hours of maximum load consumption from the power grid, and also allows a more uniform electricity interday consumption to build-up a rational daily schedule

The storage unit is physically installed at the site of the end user and supplies electricity to its internal grid during those hours of the peak cost of electricity and capacity.

The intelligent part of the system performs predictive analysis of the network load and remotely controls the charge and discharge schedule of the Commercial Dispatch unit.
The system features constant improvement of algorithms based on machine learning methods.

The project is based on energy service scheme, it means that the consumer does not need to raise funding to purchase, install and commission equipment, as well as to develop a control system and optimization algorithms.