Abstract

One of the innovative directions of the prospective development of electric power complexes of the countries of the world is the technology of smart power supply networks, the main element of which is the system of industrial energy storage. They began to be widely used for use as local energy storage devices used in combination with renewable energy sources. The purpose of the study is to analyze the influence of the shape of the graphs of consumers' electrical loads on the effect obtained in the process of price-dependent energy management based on industrial energy storage systems in the current conditions of procurement in the wholesale and retail electricity markets of Russia. The methods of analysis, synthesis, and systems approach are used. To carry out the study, we took data on the characteristics of typical graphs of electric loads of various types of large consumers, price parameters of electricity supply from the retail electricity market, valid for consumers of the Central Federal District. Based on the three basic types of hourly electricity consumption schedules, which have different indicators of daily load factors, calculations were made of changes in the parameters of the cost of electricity purchases and average prices for the purchase of electricity, as well as the comparative characteristics of cost parameters and average prices were revealed. Based on the analysis of the parameters of the cost of electricity and average purchase prices, the example of the Voronezh region investigated the direction of change in the total cost of electricity purchases and average purchase tariffs as the fill factor of daily load schedules changes. The dependence of the effects of lowering the average price of electricity purchases on the fill factor was revealed. Based on the data on the price parameters of all electric power components for the regions of the Central Federal District, the cost parameters and average tariffs for the purchase of electricity were calculated, which made it possible to identify the uneven parameters of both the monthly costs of purchasing electricity before and after the use of electric energy storage systems, and the parameters for reducing the average purchase tariffs electricity after applying storage systems. The analysis of the effects of the use of energy storage systems for different demand schedules and levels of rated voltage was carried out, which revealed a tendency to increase the effect of a decrease in average prices for the purchase of electricity as the level of rated voltage decreases. The results can be used by employees of energy companies in Russia or energy services of industrial enterprises of the Central Federal District in the process of analysis of investment projects on the use of industrial energy storage systems.

Highlights

  • of the innovative directions of the prospective development of electric power complexes of the countries of the world is the technology of smart power supply networks

  • the main element of which is the system of industrial energy storage

  • They began to be widely used for use as local energy storage devices used in combination

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Summary

Introduction

На рисунке 5 представлены post@vestnik-vsuet.ru графики почасового суточного спроса на электропотребление после применения систем промышленного накопления электроэнергии, из которых следует, что в часы выдачи мощности системой накопления электроэнергии график спроса снижается, и наоборот, в часы заряда системы накопления электроэнергии график спроса предприятия увеличивается на мощность заряда системы накопителей. Где Wмес – объем электропотребления за календарный месяц, кВт·ч; Как видно из рисунка 6, если по мере увеличения коэффициента заполнения суточного графика нагрузок величина стоимости закупок электроэнергии возрастает, а эффект от применения систем накопителей является одинаковым, то по мере увеличения коэффициента заполнения средний тариф на закупку электроэнергии снижается, и разница в тарифах от применения системы накопителей снижается по мере увеличения коэффициента заполнения графиков нагрузки.

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