7 research outputs found
Analysis of world practices for stimulating the development of renewable energy sources. A case study for Russian conditions
This document analysis the methods of stimulating renewable energy (RES) in various countries, describes the barriers and problems that hinder the development of alternative energy. Studies conducted in countries with a developed renewable energy sector will allow us to conclude that the development incentive systems (Feed-in-tariff (FIT), Renewable Energy Portfolio Standard (RSP), auctions, reverse auctions and various tax incentives) have had the required impact and the government of such countries has moved to establish parity between renewable and traditional energy, as well as to optimize the systems for promoting the development of clean energy. Green energy in countries that are actively developing renewable energy are building models and infrastructures based on the experience and methods of solving the problems of countries with a developed RES support system
Electrification of Rural Remote Areas Using Renewable Energy Sources: Literature Review
The current stage of development of autonomous energy systems is characterized by a rapid increase in renewable energy sourcesβ installed capacity. Such growth is observed both in centralized and isolated energy systems. Renewable energy sources show high efficiency in the electrification of rural remote settlements around the world. The power of such power complexes varies from several kilowatts to tens of megawatts. When solving the problems of rural remote settlements electrification, the main issues of optimizing the composition of equipment and the structure of the energy systems play an extremely important role. Moreover, depending on the specifications of the problem being solved, criteria for evaluating efficiency are used, which are different. For example, the following are used as objective functions: minimization of the levelized cost of energy and fossil fuel consumption; maximizing the standard of people living and reliability indicators; the payback period of the project and other indicators. Various combinations of objective functions and the solution to the multi-criteria optimization problem are possible. Moreover, an important stage in the development of renewable energy in remote rural areas is the availability of new mechanisms to support an environmentally friendly generation. These mechanisms can be used in solving problems of optimizing the structure and composition of energy equipment in remote power systems. The main purpose of this article is to demonstrate the world practices of optimal design of isolated energy systems. The review includes both the main questions that arise when solving such problems, and specific problems that require a more detailed analysis of the object of study
Reliability level research in distribution electrical networks of Irkutsk
Forecasting of level of reliability of power supply of consumers is one of the major tasks at implementation of actions for improvement of operational characteristics of distribution electrical networks. On the one hand, assessment of damageability allows to develop a number of actions for increase in reliability of electric equipment and elements of electrical networks, with another, to create a stock of that equipment which is subject to risk of premature failure. The purpose of the present article is implementation of statistical assessment of damageability of basic elements of distribution electrical networks of 10 kV on the basis of the predicted information on possible refusals in these networks. The main objectives for achievement of the specified purpose are: 1. Implementation of preventive assessment of refusals in electrical networks on the basis of data of dispatching magazines of observations; 2. Statistical assessment of casual events of failures of electric equipment and detection of their laws of distribution
Increasing Storage Battery Lifetime in Autonomous Photovoltaic Systems with Power Generation Structure Varying Throughout the Year
This paper substantiates the use of photovoltaic systems with power generation structure varying throughout the year. This research topic emerged from an in-depth analysis of the operating modes of autonomous photovoltaic systems located in Siberia and the Russian Far East. The paper gives a detailed and concise description of a methodology for modelling such a system with account of issues relating to the operational sustainability of diesel and solar power stations in autumn and winter. In spring and summer, autonomous photovoltaic systems operate using the standard power accumulation algorithm whereas the diesel power station serves as a stand-by power source thereby increasing the lifetime of storage batteries, reducing the number of their replacements and cutting down costs through discounting. The overall levelized cost of energy drops off significantly too. The paper presents the results of modelling an actual autonomous energy system in which a solar power station equipped with storage batteries is planned to be constructed in the near future. The modelling results revealed that using a structure varying throughout the year increases storage battery lifetime from 6 to 11 years, and there is only one (instead of three) replacement throughout the life of the batteries. The obtained results have been taken into consideration and are to be put into practice in setting up the photovoltaic system under review. The presented approach is versatile and can be used to analyze various photovoltaic systems
Power quality and losses in 0.38 kV rural distribution networks
The guidelines for the design of rural and urban power supply systems do not consider the issues of reactive power compensation and reduction in additional losses due to unbalanced and non-sinusoidal conditions. At the same time, todayβs rural power consumers have a great number of non-linear loads in their residential premises. Moreover, the unbalanced phase currents and voltages are an established fact. The paper aims to demonstrate the extent to which power quality and losses vary in real rural 0.38 kV networks. To this end, the objectives were posed to study the operation of two facilities: 1- switchgear at the cottage (with an installed capacity of 15 kW); 2- switchgear at the communal entrance hallway for 60 apartments in an apartment building (with an installed capacity of 75 kW)
Power quality and losses in 0.38 kV rural distribution networks
The guidelines for the design of rural and urban power supply systems do not consider the issues of reactive power compensation and reduction in additional losses due to unbalanced and non-sinusoidal conditions. At the same time, todayβs rural power consumers have a great number of non-linear loads in their residential premises. Moreover, the unbalanced phase currents and voltages are an established fact. The paper aims to demonstrate the extent to which power quality and losses vary in real rural 0.38 kV networks. To this end, the objectives were posed to study the operation of two facilities: 1- switchgear at the cottage (with an installed capacity of 15 kW); 2- switchgear at the communal entrance hallway for 60 apartments in an apartment building (with an installed capacity of 75 kW)
ΠΠΎΠ΄Π΅Π»Ρ ΠΎΠΏΡΠΈΠΌΠΈΠ·Π°ΡΠΈΠΈ Π½Π°Π΄Π΅ΠΆΠ½ΠΎΡΡΠΈ Π°Π²ΡΠΎΠ½ΠΎΠΌΠ½ΠΎΠΉ ΡΠ»Π΅ΠΊΡΡΠΎΡΠ½Π΅ΡΠ³Π΅ΡΠΈΡΠ΅ΡΠΊΠΎΠΉ ΡΠΈΡΡΠ΅ΠΌΡ Ρ ΠΎΠ³ΡΠ°Π½ΠΈΡΠ΅Π½ΠΈΡΠΌΠΈ Π½Π° Π΄ΠΈΠ½Π°ΠΌΠΈΡΠ΅ΡΠΊΡΡ ΡΡΡΠΎΠΉΡΠΈΠ²ΠΎΡΡΡ Π²Π΅ΡΡΠΎΠ³Π΅Π½Π΅ΡΠ°ΡΠΎΡΠ°
The relevance of the study is due to the development herein of a model for reliability
optimization of stand-alone power systems with wind turbines and electrochemical power storage
devices, with special emphasis within this model put on the specifics of power equipment operation.
The key feature of the model developed is that it enables us to factor in the requirements to be met by
the equipment as arising from the considerations of dynamic stability of the stand-alone system. When
simulating battery storage operating modes, the charge-discharge limits as well as the remaining
charge in the storage are taken into account. Thus, the reduction of the total number of considered
mixes of the equipment being commissioned is achieved, the computational efficiency of the reliability
optimization method is increased, while the validity of modeling results is improved. Development
of methods for optimization of reliability of stand-alone electric power systems with wind turbine
installations and electrochemical power storage devices while meeting requirements for electrodynamic
stability. A stand-alone power system that is assumed to be located in the coastal area of Lake Baikal
in the Kabansky State Nature Reserve, Republic of Buryatia, Russia, serves as the object of the study.
Calculations are based on multiple simulation of modes of operation of the electric power system
by means of the Monte Carlo method. The values of random variables are modeled as per specified
laws of distribution and fault rate indicators of power equipment. Modeling of power generation at
wind turbines is based on a detailed analysis of real-life weather data (average hourly wind speed,
air density and humidity). The method of reliability optimization of stand-alone power systems with
wind turbines and electrochemical energy storage devices was developed so as to take into account the
requirements to be met by electric power equipment in terms of dynamic stability. The optimization
criterion is the minimum expected value of the cost of produced electricity. Power redundanct and
energy storage devices are used as means of reliability assurance. The results of calculations attest to the fact that for the natural and climatic zone under consideration, the use of vertical axis wind turbines
in a stand-alone power system proves more efficient than the use of horizontal axis wind turbinesΠΠΊΡΡΠ°Π»ΡΠ½ΠΎΡΡΡ ΠΈΡΡΠ»Π΅Π΄ΠΎΠ²Π°Π½ΠΈΡ ΠΎΠ±ΡΡΠ»ΠΎΠ²Π»Π΅Π½Π° ΡΠ°Π·ΡΠ°Π±ΠΎΡΠΊΠΎΠΉ Π² Π΄Π°Π½Π½ΠΎΠΉ ΡΠ°Π±ΠΎΡΠ΅ ΠΌΠΎΠ΄Π΅Π»ΠΈ
ΠΎΠΏΡΠΈΠΌΠΈΠ·Π°ΡΠΈΠΈ Π½Π°Π΄Π΅ΠΆΠ½ΠΎΡΡΠΈ Π°Π²ΡΠΎΠ½ΠΎΠΌΠ½ΡΡ
ΡΠ½Π΅ΡΠ³ΠΎΡΠΈΡΡΠ΅ΠΌ Ρ Π²Π΅ΡΡΠΎΠ³Π΅Π½Π΅ΡΠ°ΡΠΎΡΠ°ΠΌΠΈ ΠΈ ΡΠ»Π΅ΠΊΡΡΠΎΡ
ΠΈΠΌΠΈΡΠ΅ΡΠΊΠΈΠΌΠΈ
Π½Π°ΠΊΠΎΠΏΠΈΡΠ΅Π»ΡΠΌΠΈ ΡΠ½Π΅ΡΠ³ΠΈΠΈ, ΠΏΡΠΈ ΡΡΠΎΠΌ ΠΎΡΠΎΠ±ΠΎΠ΅ Π²Π½ΠΈΠΌΠ°Π½ΠΈΠ΅ Π² ΡΠ°ΠΌΠΊΠ°Ρ
Π΄Π°Π½Π½ΠΎΠΉ ΠΌΠΎΠ΄Π΅Π»ΠΈ ΡΠ΄Π΅Π»ΡΠ΅ΡΡΡ ΡΠΏΠ΅ΡΠΈΡΠΈΠΊΠ΅
ΡΠΊΡΠΏΠ»ΡΠ°ΡΠ°ΡΠΈΠΈ ΡΠ½Π΅ΡΠ³Π΅ΡΠΈΡΠ΅ΡΠΊΠΎΠ³ΠΎ ΠΎΠ±ΠΎΡΡΠ΄ΠΎΠ²Π°Π½ΠΈΡ. ΠΠ»ΡΡΠ΅Π²Π°Ρ ΠΎΡΠΎΠ±Π΅Π½Π½ΠΎΡΡΡ ΡΠ°Π·ΡΠ°Π±ΠΎΡΠ°Π½Π½ΠΎΠΉ ΠΌΠΎΠ΄Π΅Π»ΠΈ
Π·Π°ΠΊΠ»ΡΡΠ°Π΅ΡΡΡ Π² ΡΠΎΠΌ, ΡΡΠΎ ΠΎΠ½Π° ΠΏΠΎΠ·Π²ΠΎΠ»ΡΠ΅Ρ ΡΡΠΈΡΡΠ²Π°ΡΡ ΡΡΠ΅Π±ΠΎΠ²Π°Π½ΠΈΡ, ΠΏΡΠ΅Π΄ΡΡΠ²Π»ΡΠ΅ΠΌΡΠ΅ ΠΊ ΠΎΠ±ΠΎΡΡΠ΄ΠΎΠ²Π°Π½ΠΈΡ,
ΠΊΠ°ΠΊ Π²ΡΡΠ΅ΠΊΠ°ΡΡΠΈΠ΅ ΠΈΠ· ΡΠΎΠΎΠ±ΡΠ°ΠΆΠ΅Π½ΠΈΠΉ Π΄ΠΈΠ½Π°ΠΌΠΈΡΠ΅ΡΠΊΠΎΠΉ ΡΡΡΠΎΠΉΡΠΈΠ²ΠΎΡΡΠΈ Π°Π²ΡΠΎΠ½ΠΎΠΌΠ½ΠΎΠΉ ΡΠΈΡΡΠ΅ΠΌΡ. ΠΡΠΈ
ΠΌΠΎΠ΄Π΅Π»ΠΈΡΠΎΠ²Π°Π½ΠΈΠΈ ΡΠ΅ΠΆΠΈΠΌΠΎΠ² ΡΠ°Π±ΠΎΡΡ Π°ΠΊΠΊΡΠΌΡΠ»ΡΡΠΎΡΠ½ΡΡ
Π±Π°ΡΠ°ΡΠ΅ΠΉ ΡΡΠΈΡΡΠ²Π°ΡΡΡΡ ΠΏΡΠ΅Π΄Π΅Π»Ρ Π·Π°ΡΡΠ΄Π°-
ΡΠ°Π·ΡΡΠ΄Π°, Π° ΡΠ°ΠΊΠΆΠ΅ ΠΎΡΡΠ°Π²ΡΠΈΠΉΡΡ Π·Π°ΡΡΠ΄ Π² Π½Π°ΠΊΠΎΠΏΠΈΡΠ΅Π»Π΅. Π’Π°ΠΊΠΈΠΌ ΠΎΠ±ΡΠ°Π·ΠΎΠΌ, Π΄ΠΎΡΡΠΈΠ³Π°Π΅ΡΡΡ ΡΠΎΠΊΡΠ°ΡΠ΅Π½ΠΈΠ΅ ΠΎΠ±ΡΠ΅Π³ΠΎ
ΡΠΈΡΠ»Π° ΡΠ°ΡΡΠΌΠ°ΡΡΠΈΠ²Π°Π΅ΠΌΡΡ
Π²Π°ΡΠΈΠ°Π½ΡΠΎΠ² Π²Π²ΠΎΠ΄ΠΈΠΌΠΎΠ³ΠΎ Π² ΡΠΊΡΠΏΠ»ΡΠ°ΡΠ°ΡΠΈΡ ΠΎΠ±ΠΎΡΡΠ΄ΠΎΠ²Π°Π½ΠΈΡ, ΠΏΠΎΠ²ΡΡΠ°Π΅ΡΡΡ
Π²ΡΡΠΈΡΠ»ΠΈΡΠ΅Π»ΡΠ½Π°Ρ ΡΡΡΠ΅ΠΊΡΠΈΠ²Π½ΠΎΡΡΡ ΠΌΠ΅ΡΠΎΠ΄Π° ΠΎΠΏΡΠΈΠΌΠΈΠ·Π°ΡΠΈΠΈ Π½Π°Π΄Π΅ΠΆΠ½ΠΎΡΡΠΈ ΠΈ ΠΏΠΎΠ²ΡΡΠ°Π΅ΡΡΡ Π΄ΠΎΡΡΠΎΠ²Π΅ΡΠ½ΠΎΡΡΡ
ΡΠ΅Π·ΡΠ»ΡΡΠ°ΡΠΎΠ² ΠΌΠΎΠ΄Π΅Π»ΠΈΡΠΎΠ²Π°Π½ΠΈΡ. Π¦Π΅Π»Ρ: ΡΠ°Π·ΡΠ°Π±ΠΎΡΠΊΠ° ΠΌΠ΅ΡΠΎΠ΄ΠΎΠ² ΠΎΠΏΡΠΈΠΌΠΈΠ·Π°ΡΠΈΠΈ Π½Π°Π΄Π΅ΠΆΠ½ΠΎΡΡΠΈ Π°Π²ΡΠΎΠ½ΠΎΠΌΠ½ΡΡ
ΡΠ»Π΅ΠΊΡΡΠΎΡΠ½Π΅ΡΠ³Π΅ΡΠΈΡΠ΅ΡΠΊΠΈΡ
ΡΠΈΡΡΠ΅ΠΌ Π²Π΅ΡΡΠΎΡΠ½Π΅ΡΠ³Π΅ΡΠΈΡΠ΅ΡΠΊΠΈΠΌΠΈ ΡΡΡΠ°Π½ΠΎΠ²ΠΊΠ°ΠΌΠΈ ΠΈ ΡΠ»Π΅ΠΊΡΡΠΎΡ
ΠΈΠΌΠΈΡΠ΅ΡΠΊΠΈΠΌΠΈ
Π½Π°ΠΊΠΎΠΏΠΈΡΠ΅Π»ΡΠΌΠΈ ΡΠ½Π΅ΡΠ³ΠΈΠΈ ΠΏΡΠΈ ΡΠΎΠ±Π»ΡΠ΄Π΅Π½ΠΈΠΈ ΡΡΠ΅Π±ΠΎΠ²Π°Π½ΠΈΠΉ ΠΊ ΡΠ»Π΅ΠΊΡΡΠΎΠ΄ΠΈΠ½Π°ΠΌΠΈΡΠ΅ΡΠΊΠΎΠΉ ΡΡΡΠΎΠΉΡΠΈΠ²ΠΎΡΡΠΈ.
ΠΠ±ΡΠ΅ΠΊΡΠΎΠΌ ΠΈΡΡΠ»Π΅Π΄ΠΎΠ²Π°Π½ΠΈΡ ΡΠ²Π»ΡΠ΅ΡΡΡ Π°Π²ΡΠΎΠ½ΠΎΠΌΠ½Π°Ρ ΡΠ½Π΅ΡΠ³ΠΎΡΠΈΡΡΠ΅ΠΌΠ°, ΠΏΡΠ΅Π΄ΠΏΠΎΠ»ΠΎΠΆΠΈΡΠ΅Π»ΡΠ½ΠΎ
ΡΠ°ΡΠΏΠΎΠ»ΠΎΠΆΠ΅Π½Π½Π°Ρ Π² ΠΏΡΠΈΠ±ΡΠ΅ΠΆΠ½ΠΎΠΉ Π·ΠΎΠ½Π΅ ΠΎΠ·Π΅ΡΠ° ΠΠ°ΠΉΠΊΠ°Π» Π² ΠΠ°Π±Π°Π½ΡΠΊΠΎΠΌ Π³ΠΎΡΡΠ΄Π°ΡΡΡΠ²Π΅Π½Π½ΠΎΠΌ ΠΏΡΠΈΡΠΎΠ΄Π½ΠΎΠΌ
Π·Π°ΠΏΠΎΠ²Π΅Π΄Π½ΠΈΠΊΠ΅ Π Π΅ΡΠΏΡΠ±Π»ΠΈΠΊΠΈ ΠΡΡΡΡΠΈΡ. Π Π°ΡΡΠ΅ΡΡ ΠΎΡΠ½ΠΎΠ²Π°Π½Ρ Π½Π° ΠΌΠ½ΠΎΠ³ΠΎΠΊΡΠ°ΡΠ½ΠΎΠΌ ΠΌΠΎΠ΄Π΅Π»ΠΈΡΠΎΠ²Π°Π½ΠΈΠΈ
ΡΠ΅ΠΆΠΈΠΌΠΎΠ² ΡΠ°Π±ΠΎΡΡ ΡΠ»Π΅ΠΊΡΡΠΎΡΠ½Π΅ΡΠ³Π΅ΡΠΈΡΠ΅ΡΠΊΠΎΠΉ ΡΠΈΡΡΠ΅ΠΌΡ ΠΌΠ΅ΡΠΎΠ΄ΠΎΠΌ ΠΠΎΠ½ΡΠ΅-ΠΠ°ΡΠ»ΠΎ. ΠΠ½Π°ΡΠ΅Π½ΠΈΡ ΡΠ»ΡΡΠ°ΠΉΠ½ΡΡ
Π²Π΅Π»ΠΈΡΠΈΠ½ ΠΌΠΎΠ΄Π΅Π»ΠΈΡΡΡΡΡΡ Π² ΡΠΎΠΎΡΠ²Π΅ΡΡΡΠ²ΠΈΠΈ Ρ Π·Π°Π΄Π°Π½Π½ΡΠΌΠΈ Π·Π°ΠΊΠΎΠ½Π°ΠΌΠΈ ΡΠ°ΡΠΏΡΠ΅Π΄Π΅Π»Π΅Π½ΠΈΡ ΠΈ ΠΏΠΎΠΊΠ°Π·Π°ΡΠ΅Π»ΡΠΌΠΈ
Π°Π²Π°ΡΠΈΠΉΠ½ΠΎΡΡΠΈ ΡΠ½Π΅ΡΠ³Π΅ΡΠΈΡΠ΅ΡΠΊΠΎΠ³ΠΎ ΠΎΠ±ΠΎΡΡΠ΄ΠΎΠ²Π°Π½ΠΈΡ. ΠΠΎΠ΄Π΅Π»ΠΈΡΠΎΠ²Π°Π½ΠΈΠ΅ Π²ΡΡΠ°Π±ΠΎΡΠΊΠΈ ΡΠ»Π΅ΠΊΡΡΠΎΡΠ½Π΅ΡΠ³ΠΈΠΈ Π½Π°
Π²Π΅ΡΡΠΎΠ³Π΅Π½Π΅ΡΠ°ΡΠΎΡΠ°Ρ
ΠΎΡΠ½ΠΎΠ²Π°Π½ΠΎ Π½Π° Π΄Π΅ΡΠ°Π»ΡΠ½ΠΎΠΌ Π°Π½Π°Π»ΠΈΠ·Π΅ ΡΠ΅Π°Π»ΡΠ½ΡΡ
ΠΏΠΎΠ³ΠΎΠ΄Π½ΡΡ
Π΄Π°Π½Π½ΡΡ
(ΡΡΠ΅Π΄Π½Π΅ΡΠ°ΡΠΎΠ²Π°Ρ
ΡΠΊΠΎΡΠΎΡΡΡ Π²Π΅ΡΡΠ°, ΠΏΠ»ΠΎΡΠ½ΠΎΡΡΡ ΠΈ Π²Π»Π°ΠΆΠ½ΠΎΡΡΡ Π²ΠΎΠ·Π΄ΡΡ
Π°). Π Π°Π·ΡΠ°Π±ΠΎΡΠ°Π½Π° ΠΌΠ΅ΡΠΎΠ΄ΠΈΠΊΠ° ΠΎΠΏΡΠΈΠΌΠΈΠ·Π°ΡΠΈΠΈ Π½Π°Π΄Π΅ΠΆΠ½ΠΎΡΡΠΈ
Π°Π²ΡΠΎΠ½ΠΎΠΌΠ½ΡΡ
ΡΠ½Π΅ΡΠ³ΠΎΡΠΈΡΡΠ΅ΠΌ Ρ Π²Π΅ΡΡΠΎΠ³Π΅Π½Π΅ΡΠ°ΡΠΎΡΠ°ΠΌΠΈ ΠΈ ΡΠ»Π΅ΠΊΡΡΠΎΡ
ΠΈΠΌΠΈΡΠ΅ΡΠΊΠΈΠΌΠΈ Π½Π°ΠΊΠΎΠΏΠΈΡΠ΅Π»ΡΠΌΠΈ
ΡΠ½Π΅ΡΠ³ΠΈΠΈ Ρ ΡΡΠ΅ΡΠΎΠΌ ΡΡΠ΅Π±ΠΎΠ²Π°Π½ΠΈΠΉ, ΠΏΡΠ΅Π΄ΡΡΠ²Π»ΡΠ΅ΠΌΡΡ
ΠΊ ΡΠ»Π΅ΠΊΡΡΠΎΡΠ½Π΅ΡΠ³Π΅ΡΠΈΡΠ΅ΡΠΊΠΎΠΌΡ ΠΎΠ±ΠΎΡΡΠ΄ΠΎΠ²Π°Π½ΠΈΡ Ρ
ΡΠΎΡΠΊΠΈ Π·ΡΠ΅Π½ΠΈΡ Π΄ΠΈΠ½Π°ΠΌΠΈΡΠ΅ΡΠΊΠΎΠΉ ΡΡΡΠΎΠΉΡΠΈΠ²ΠΎΡΡΠΈ. ΠΡΠΈΡΠ΅ΡΠΈΠ΅ΠΌ ΠΎΠΏΡΠΈΠΌΠΈΠ·Π°ΡΠΈΠΈ ΡΠ²Π»ΡΠ΅ΡΡΡ ΠΌΠΈΠ½ΠΈΠΌΠ°Π»ΡΠ½ΠΎΠ΅
ΠΎΠΆΠΈΠ΄Π°Π΅ΠΌΠΎΠ΅ Π·Π½Π°ΡΠ΅Π½ΠΈΠ΅ ΡΠ΅Π±Π΅ΡΡΠΎΠΈΠΌΠΎΡΡΠΈ ΠΏΡΠΎΠΈΠ·Π²Π΅Π΄Π΅Π½Π½ΠΎΠΉ ΡΠ»Π΅ΠΊΡΡΠΎΡΠ½Π΅ΡΠ³ΠΈΠΈ. Π ΠΊΠ°ΡΠ΅ΡΡΠ²Π΅ ΡΡΠ΅Π΄ΡΡΠ²
ΠΎΠ±Π΅ΡΠΏΠ΅ΡΠ΅Π½ΠΈΡ Π½Π°Π΄Π΅ΠΆΠ½ΠΎΡΡΠΈ ΠΈΡΠΏΠΎΠ»ΡΠ·ΡΡΡΡΡ ΡΡΡΡΠΎΠΉΡΡΠ²Π° ΡΠ΅Π·Π΅ΡΠ²ΠΈΡΠΎΠ²Π°Π½ΠΈΡ ΠΌΠΎΡΠ½ΠΎΡΡΠΈ ΠΈ Π½Π°ΠΊΠΎΠΏΠ»Π΅Π½ΠΈΡ ΡΠ½Π΅ΡΠ³ΠΈΠΈ. Π Π΅Π·ΡΠ»ΡΡΠ°ΡΡ ΡΠ°ΡΡΠ΅ΡΠΎΠ² ΡΠ²ΠΈΠ΄Π΅ΡΠ΅Π»ΡΡΡΠ²ΡΡΡ ΠΎ ΡΠΎΠΌ, ΡΡΠΎ Π΄Π»Ρ ΡΠ°ΡΡΠΌΠ°ΡΡΠΈΠ²Π°Π΅ΠΌΠΎΠΉ ΠΏΡΠΈΡΠΎΠ΄Π½ΠΎ-
ΠΊΠ»ΠΈΠΌΠ°ΡΠΈΡΠ΅ΡΠΊΠΎΠΉ Π·ΠΎΠ½Ρ ΠΈΡΠΏΠΎΠ»ΡΠ·ΠΎΠ²Π°Π½ΠΈΠ΅ Π²Π΅ΡΡΠΎΠ³Π΅Π½Π΅ΡΠ°ΡΠΎΡΠΎΠ² Ρ Π²Π΅ΡΡΠΈΠΊΠ°Π»ΡΠ½ΠΎΠΉ ΠΎΡΡΡ Π² Π°Π²ΡΠΎΠ½ΠΎΠΌΠ½ΠΎΠΉ
ΡΠ½Π΅ΡΠ³ΠΎΡΠΈΡΡΠ΅ΠΌΠ΅ ΠΎΠΊΠ°Π·ΡΠ²Π°Π΅ΡΡΡ Π±ΠΎΠ»Π΅Π΅ ΡΡΡΠ΅ΠΊΡΠΈΠ²Π½ΡΠΌ, ΡΠ΅ΠΌ ΠΈΡΠΏΠΎΠ»ΡΠ·ΠΎΠ²Π°Π½ΠΈΠ΅ Π²Π΅ΡΡΠΎΠ³Π΅Π½Π΅ΡΠ°ΡΠΎΡΠΎΠ² Ρ
Π³ΠΎΡΠΈΠ·ΠΎΠ½ΡΠ°Π»ΡΠ½ΠΎΠΉ ΠΎΡΡ