Prospects for the development of energy management systems in the Russian Federation

Introduction. Recently, electrical networks around the world have undergone a radical restruction. These changes are connected with the wide introduction of geographically distributed alternative energy sources in the energy system. Based on the traditional approaches to managing distributed objects for geographically distributed energy systems, the principles of centralized, hierarchical and distributed control can be applied. The most effective of them is the use of intelligent control systems.

In Russian Federation and abroad a lot of specialists are working at the development of concepts of intelligent network technologies. Prospects for their development in Russian Federation can be formulated as follows:

• -      development of renewable energy sources;

• -      development of distributed energy;

• -      reduction of power losses due to the construction of intelligent

metering systems, taking into account the quality of electricity and limiting the load;

• -      development of the communication environment, providing

information exchange between energy suppliers and consumers;

• -      use of intelligent equipment and software to ensure the reliability of

the work;

• -      Use of high-performance energy storage devices to equalize the load

graph.

Intelligent energy networks

Intelligent networks are specific application of intelligent energy systems that, with information technology, correct the flow of electricity between suppliers and consumers. Intelligent networks contribute to the generation, distribution and consumption of electricity. The electrical system becomes prognostic, communicative and controlled. The goal is to make intelligent networks flexible and able to accurately interact with the behavior and actions of all connected users. Recently, an advanced measurement infrastructure has been widely implemented abroad (AMI). It allows measuring energy consumption in detail at a higher frequency. This results in a large volume of smart meter data that shows more information about consumer behavior and displays them on the site. It allows the information system to introduce various price rates for electricity consumption depending on the time of day and season. An intelligent information system collects and transmits information to system components, such as service providers and customers. For example, consumers can benefit from information provided by the system to rationally use electricity, and lower tariffs. Figure 1 shows a comparison of the current power supply system and the intelligent system. One of the main problems of intelligent accounting is the extraction of useful information from a large amount of data (from households, office buildings). The solution to this problem is Big Data technologies that include powerful sets of algorithms. It facilitates the analysis, interpretation and detection of hidden structures in data of an intellectual dimension.

Energy flows

----► Now

-----> Will be

Information flows

------> Now

--> Will be

Figure 1 - Comparison of the current power supply system and Smart Grid

Using an intelligent energy system will eliminate all current problems;

ensure positive effects for all subjects of the retail market. Table 2 presents foreign projects for the intelligent metering of electricity.

Table 2 - Foreign projects for the intelligent metering of electricity

Name of the project	Technology	Start
ERDF (France)	GPRS, PLC	2012
Silicon Valley Power (USA)	PLC, Radio	2014
The Salt River Project (USA)	PLC, 3G	2013
EDF Energy (Great Britain)	PLC, 3G	2015
E.ON (Great Britain)	PLC	2016
Rwe npower (Great Britain)	PLC	2016
Ernst & Young (Germany)	PLC, 3G	2013
Alliander (Netherlands)	PLC, Radio	2013
Vattenfall (Sweden)	PLC, Radio	2014

Using Smart Grid technology is effective in the following tasks:

• -    intelligent systems for monitoring, integrating and managing renewable energy sources;

• -    distributed devices for the production and storage of energy based on methods of artificial intelligence;

• -    intelligent systems focused on monitoring and managing electricity parameters by consumers;

• -    management of electricity consumption;

• -    load monitoring under extreme conditions;

• -    automated transmission, processing and provision of information on energy consumption;

• -    formation of situational databases on energy consumption;

The conclusion. Based on the analysis, we can conclude that the use of intelligent power supply networks can achieve the following effects:

• -    reduction of technological and minimization of commercial losses;

• -    reduction of consumer spending and receipt of additional income;

• -    new markets, industries, jobs;

• -    increase in energy efficiency;

• -    growth in the environmental friendliness of energy;

• -    cyber-physical security;