Microgrid, dynamic tariffing, reference tariff, Smart-meters, Frieze power, price calculation algorithm, primary fuel, energy consumption optimization


The analysis showed the significant spread and successful operation of modern local Microgrid systems, which are considered as a group of interconnected loads and dispersed energy resources within clearly defined territorial boundaries and act as a single managed object for a higher level network and can connect or disconnect from this network to be able to work in both connected and island mode. An assessment of the financial and technical performance of Microgrid in dynamic modes, in particular, the development of Microgrid to ensure optimal generation and consumption regimes in terms of their performance in local markets. The Microgrid has been identified as being able to improve the stability, reliability, quality, and safety of conventional distribution systems, making it a more reliable and useful technique for generating electricity and reducing the use of non-renewable energy sources.

It is shown that the advantages of dynamic charging are most fully manifested at the local level, and modern interaction of participants in the market of ancillary services involves increasing the role of aggregates of aggregate and aggregates of dispersed consumption. -models with a combination of physical, communication, information, and business levels. The tariff for dynamic pricing should be considered as one of the most efficient and economical programs, in which the price of electricity changes over a period. At the same time, charging must be based on dynamic models, which should include the fundamentally dynamic nature of regulating the capacity of the system and stimulating the relevant desired actions by the consumer. The application of tariff calculation in dynamic tariffing is proposed not by time interval, but by state; summing up the real balance of energy components (instantaneous and integral values); formation for further control of optimality of levels of generation and consumption of the electric power, in particular, in the form of the reference tariff and reference profiles of generation and consumption of the electric power.

The influence of dynamic pricing on Microgrid functions is determined taking into account the factors that affect electricity demand and depend on the modes of operation of the generator and load, in particular, with the allocation of the "reference tariff". It is substantiated that efficient dynamic pricing is possible with the use of Smart meters with minimum requirements that allow you to reliably monitor the cost of primary fuel for generation and electricity consumption in specific time intervals. The developed algorithm for calculating the price of primary fuel depending on the uneven consumption of active power over a period allows you to use dynamic charging when changing modes of operation of Microgrid generators, while providing an adequate price for consumers and producers of primary fuel and electricity supplied and consumed. Using the Frieze power modification, the developed algorithm provides for the calculation of the optimal value of active power, which corresponds to a uniform power consumption and is characterized by minimal use of primary fuel.

The need to combine technical and economic (financial, price) indicators in business models and technical means at the Microgrid level is substantiated, which will significantly improve the process of managing electricity demand in the local electricity market. The proposed algorithm allows studying the impact of a rapid change in the level of generator power and power consumption on changes in cost indicators of the system, the introduction of demand management mechanisms and measures to improve energy efficiency.