Energy Storage Control Algorithms to Reduce the Cost of Electric Energy to Consumers

The estimated cost of energy storage systems, in particular, lithium-ion batteries, by 2030 is less than $ 100. It indicates the prospects of using energy storages and the development of appropriate control algorithms in order to reduce the cost of network electricity for consumers. Currently, energy storages are mainly used in conjunction with renewable energy sources to smooth out torn generation. This work is devoted to the development and analysis of ways of reducing the cost of electricity for organizations purchasing electricity in III and IV price categories in the Russian Federation. Control algorithms aimed at reducing peak power (1), and at minimizing the consumption of mains electricity in the control hours (2) are considered. Each algorithm allows for the purposeful reduction of a corresponding component of the electricity cost in accordance with the pricing features for the corresponding price category. The results of the research show that the first algorithm is advisable to be used with a sufficiently large maximum stored energy (capacity) of the storage, comparable to the daily consumption. Using the second algorithm allows reducing the power charge down to zero, while the maximum stored energy (capacity) of the storage can be relatively small — no higher than the average hourly consumption in the control hours, which does not require significant capital expenditures for implementation. In addition to reducing costs for the enterprise, the proposed solutions positively influence the energy system as a whole, as allow you to align its load during the day.