scholarly journals Reducing the cost of electricity transmission services of industrial enterprises connected to the electric networks of electric power producers

2021 ◽  
Vol 29 (2) ◽  
pp. 359-383
Author(s):  
Anatoly P. Dzyuba
Keyword(s):  
Electricity Consumption ◽  
Weighted Average ◽  
Electrical Energy ◽  
Average Price ◽  
Electrical Networks ◽  
Electric Networks ◽  
Cost Of Electricity ◽  
Industrial Enterprises ◽  
Transport Component ◽  
The Cost

Reducing the cost of electricity consumption by industrial enterprises is the most important area of increasing the operational efficiency of their activities. The article is devoted to the issue of reducing the cost of paying for the service component of the transport component of purchased electrical energy from industrial enterprises that have technological connection to the electrical networks of electricity producers. The article makes an empirical study of the features of the pricing of payment for the services of the transport component of purchased electrical energy for industrial enterprises connected to the electric grids of electricity producers with the identification of factors influencing the overestimation of the cost of paid electricity, and calculating such overestimations using the example of a typical schedule of electricity consumption of a machinebuilding enterprise for various regions Russia. On the basis of the developed author's indicators (tariff coefficient for electricity transportation by the level of GNP, index of tariff coefficient for electricity transportation, weighted average price for electricity transportation, index of weighted average price for electricity transportation, integral index of efficiency of GNP tariffs) study of the effectiveness of the application of tariffs for the transport of electricity for industrial enterprises connected to the electric networks of electricity producers. Based on the calculated indicators, the article groups the regions into three main groups, with the development of recommendations for managing the cost of purchasing electricity by the component of the cost of the transport component of purchased electricity in each group. As the most optimal option for reducing the cost of electricity transportation, the author proposes the introduction of demand management for electricity consumption, which will reduce the costs of industrial enterprises that pay for the transport component of purchased electricity at unfavorable tariff configurations.

Study of the operation of an artificial neural network that works in the electric network in order to prevent emergency conditions.

2020 ◽  
Vol 14 (1) ◽  
pp. 48-54
Author(s):  
D. Ostrenko ◽  
Keyword(s):  
Neural Networks ◽  
Learning Algorithm ◽  
Electricity Consumption ◽  
Electrical Energy ◽  
Energy System ◽  
Electrical Networks ◽  
Electric Networks ◽  
Electric Network ◽  
Time Dynamics ◽  
Emergency Situations

Emergency modes in electrical networks, arising for various reasons, lead to a break in the transmission of electrical energy on the way from the generating facility to the consumer. In most cases, such time breaks are unacceptable (the degree depends on the class of the consumer). Therefore, an effective solution is to both deal with the consequences, use emergency input of the reserve, and prevent these emergency situations by predicting events in the electric network. After analyzing the source [1], it was concluded that there are several methods for performing the forecast of emergency situations in electric networks. It can be: technical analysis, operational data processing (or online analytical processing), nonlinear regression methods. However, it is neural networks that have received the greatest application for solving these tasks. In this paper, we analyze existing neural networks used to predict processes in electrical systems, analyze the learning algorithm, and propose a new method for using neural networks to predict in electrical networks. Prognostication in electrical engineering plays a key role in shaping the balance of electricity in the grid, influencing the choice of mode parameters and estimated electrical loads. The balance of generation of electricity is the basis of technological stability of the energy system, its violation affects the quality of electricity (there are frequency and voltage jumps in the network), which reduces the efficiency of the equipment. Also, the correct forecast allows to ensure the optimal load distribution between the objects of the grid. According to the experience of [2], different methods are usually used for forecasting electricity consumption and building customer profiles, usually based on the analysis of the time dynamics of electricity consumption and its factors, the identification of statistical relationships between features and the construction of models.

scholarly journals To the issue of assessing the efficiency of distributed generation in low-voltage electric networks

2020 ◽  
Vol 178 ◽  
pp. 01077
Author(s):  
A.N. Alyunov ◽  
A.Yu Belyanin ◽  
A.E. Nemirovsky ◽  
D.A. Zaripova
Keyword(s):  
Power System ◽  
Distributed Generation ◽  
Power Supply ◽  
Low Voltage ◽  
Electric Networks ◽  
Cost Of Electricity ◽  
Industrial Enterprises ◽  
Urgent Task ◽  
The Cost ◽  
Supply Systems

This article considers an urgent task of using autonomous sources for power supply systems of industrial enterprises of small and medium-sized production. The efficiency of choosing the time of their switching-on in peak hours of power system in order to reduce the cost of electricity is shown on the example of diesel generators.

scholarly journals COST-DEPENDENT ELECTRIC CONSUMPTION AS A TOOL OF RISK MANAGEMENT OF NON-PAYMENT FOR ELECTRIC ENERGY OF INDUSTRIAL ENTERPRISES

2019 ◽  
pp. 8-19
Author(s):  
A. P. Dzyuba ◽  
I, A. Soloveva
Keyword(s):  
Power Consumption ◽  
Electricity Markets ◽  
Economic Effect ◽  
Electric Energy ◽  
Electricity Consumption ◽  
Machine Building ◽  
Industrial Equipment ◽  
Cost Of Electricity ◽  
Industrial Enterprises ◽  
The Cost

The growth of indebtedness of industrial enterprises operating in conditions of economic instability for consumed electricity and the sanctions imposed by the energy supplying organizations for late payments, determine the urgency of the problem of managing the risks of non-payment for energy from industrial enterprises. The article is devoted to the description of the method developed by the authors for managing the risks of non-payment of industrial enterprises for consumed electricity, based on the principles of price-dependent electricity consumption. Based on the study of the mechanism of formation of the cost of electricity purchased by industrial enterprises in the wholesale and retail electricity markets, special methods were proposed to control each component of the cost of electricity: electrical energy, electrical power, electricity transmission services. It justifies the need to develop options for operating modes of industrial equipment, such as nominal load mode, load limiting mode, technological minimum load, in order to effectively implement and use price-dependent power consumption in crisis conditions.Modeling scenarios of price-dependent demand management for power consumption is made on the example of a machine-building enterprise and the calculation and component-wise analysis of the economic effect of price-dependent management and the factors influencing its formation are carried out. The developed method allows you to effectively manage the risks of non-payment of industrial enterprises for electricity, as well as minimize the risks of restricting the supply of electricity to industrial facilities and disruptions in the operation of industrial equipment.

scholarly journals COST-DEPENDENT ELECTRIC CONSUMPTION AS A TOOL OF RISK MANAGEMENT OF NON-PAYMENT FOR ELECTRIC ENERGY OF INDUSTRIAL ENTERPRISES

2019 ◽  
pp. 08-19
Author(s):  
A. P. Dzyuba ◽  
I, A. Soloveva
Keyword(s):  
Power Consumption ◽  
Electricity Markets ◽  
Economic Effect ◽  
Electric Energy ◽  
Electricity Consumption ◽  
Machine Building ◽  
Industrial Equipment ◽  
Cost Of Electricity ◽  
Industrial Enterprises ◽  
The Cost

The growth of indebtedness of industrial enterprises operating in conditions of economic instability for consumed electricity and the sanctions imposed by the energy supplying organizations for late payments, determine the urgency of the problem of managing the risks of non-payment for energy from industrial enterprises. The article is devoted to the description of the method developed by the authors for managing the risks of non-payment of industrial enterprises for consumed electricity, based on the principles of price-dependent electricity consumption. Based on the study of the mechanism of formation of the cost of electricity purchased by industrial enterprises in the wholesale and retail electricity markets, special methods were proposed to control each component of the cost of electricity: electrical energy, electrical power, electricity transmission services. It justifies the need to develop options for operating modes of industrial equipment, such as nominal load mode, load limiting mode, technological minimum load, in order to effectively implement and use price-dependent power consumption in crisis conditions.Modeling scenarios of price-dependent demand management for power consumption is made on the example of a machine-building enterprise and the calculation and component-wise analysis of the economic effect of price-dependent management and the factors influencing its formation are carried out. The developed method allows you to effectively manage the risks of non-payment of industrial enterprises for electricity, as well as minimize the risks of restricting the supply of electricity to industrial facilities and disruptions in the operation of industrial equipment.

scholarly journals Management of Energy Costs of Industrial Enterprises Connected to Electric Grid of Electric Power Producers

2021 ◽  
Vol 2021 (2) ◽  
pp. 198-207
Author(s):  
Anatoly Dzyuba ◽  
Alexander Semikolenov
Keyword(s):  
Demand Management ◽  
Electricity Consumption ◽  
Electrical Energy ◽  
Power Grids ◽  
Energy Costs ◽  
Advantages And Disadvantages ◽  
Industrial Enterprises ◽  
Pricing Options ◽  
The Cost ◽  
Cost Components

Industrial enterprises connected to the power grids of electricity producers spend a lot of money on the transport of purchased electrical energy. The present article introduces some opportunities to minimize the costs. The author studied the principles of pricing of the transport of electrical energy purchased by industrial enterprises connected to power grids of electricity producers and described the advantages and disadvantages of the existing pricing options. The new indicator generator of voltage tariff coefficient made it possible to analyze the effectiveness of the transport tariffs for electrical energy at various types of industrial enterprises in relation to the tariff field of several regions of Russia. The study revealed ineffectiveness of the current tariffs on the transport of purchased electrical energy applied by such industrial enterprises. The author developed recommendations to reduce the cost of electricity. The main priority option was the application of demand management for electricity consumption by regulating the schedules of energy-intensive technological processes. This measure takes into account the criteria of economic efficiency, system reliability, and sustainability. It will enable industrial enterprises to manage their own schedule of electricity consumption without having to change the planned production volumes, thus reducing all cost components.

scholarly journals Characteristics of the cost of electricity consumption in agricultural production

2021 ◽  
Vol 677 (3) ◽  
pp. 032087
Author(s):  
G S Kudryashev ◽  
A N Tretyakov ◽  
S V Batishchev ◽  
V A Bochkarev ◽  
V D Ochirov
Keyword(s):  
Agricultural Production ◽  
Electricity Consumption ◽  
Cost Of Electricity ◽  
The Cost

scholarly journals Industrial Electricity Consumption and Expropriate Analysis Technique

2019 ◽  
Vol 9 (1) ◽  
pp. 479-481
Keyword(s):  
Electricity Consumption ◽  
Power Losses ◽  
Cost Of Electricity ◽  
Analysis Technique ◽  
Electricity Power ◽  
The Cost ◽  
Electrical Utilities

Electricity power losses activity is a major problem for many electrical utilities worldwide. Not only does it affect a company’s profitability and credibility, but it also increases the cost of electricity to industrial consumers. Therefore, the need to minimize the extent and impact this problem is crucial for both the utilities, including MGVCL Gujarat that is the focus here, and their industrial consumers.

scholarly journals Application of PVStorage System in Typical Industrial Users

2019 ◽  
Vol 118 ◽  
pp. 02068
Author(s):  
Haiwen Wang ◽  
Daoyuan Wen ◽  
Qunyin Gu ◽  
Fangqin Li ◽  
Weijun Gao ◽  
...  
Keyword(s):  
Power Consumption ◽  
High Reliability ◽  
Electricity Consumption ◽  
Optical Storage ◽  
Large Power ◽  
Storage Model ◽  
Industrial Enterprises ◽  
Photovoltaic Power ◽  
Roof Area ◽  
The Cost

The power consumption of industrial enterprises is characterized by large power consumption and high reliability requirement, so the cost of electricity consumption is relatively high. Distributed photovoltaic power generation is clean and environmentally friendly, making full use of the roof area to generate electricity. Based on the characteristics of distributed photovoltaic and energy storage, this paper constructs the distributed optical storage model and operation strategy. In addition, this paper takes an industry as an example to carry out relevant verification and analysis.

scholarly journals Decrease of Power Consumption Utilizing IOT

2019 ◽  
Vol 9 (1) ◽  
pp. 5316-5319
Keyword(s):  
Internet Of Things ◽  
Power Consumption ◽  
Smart Cities ◽  
Electricity Consumption ◽  
Cost Of Electricity ◽  
Future Consumption ◽  
The Cost ◽  
Very High ◽  
New System ◽  
Made In

As electricity consumption is very high so using IOT ,reduction of electricity consumption is tried company nowadays but the use of it in extreme levels results as a damage to environment and personal financial conditions.Involving fields of application and Internet of things sensors are made. In this paper an architecture is introduced, that helps the smart cities to save resources for future. Consumption of electricity in a way is destroying the environment so this paper helps in saving the cost of electricity as well as saving the environment using wireless connections. Finally a new system is proposed keeping in mind the old one and its challenges. This system overcomes all the challenges and difficulties faced by the old one. To implement the framework electrical appliances such as lights, fans, ac etc are incorporated within the proposed system of reduction of electricity consumption

scholarly journals MODEL OF EVALUATION THE FEASIBILITY OF INDUSTRIAL CUSTOMERS TO HOURLY ACCOUNTING OF RETAIL ELECTRICITY MARKET

2021 ◽  
pp. 88-97
Author(s):  
I. Blinov ◽  
E. Parus ◽  
V. Miroshnyk ◽  
P. Shymaniuk ◽  
V. Sychova
Keyword(s):  
Electricity Market ◽  
Market Price ◽  
Electricity Consumption ◽  
Weighted Average ◽  
Load Schedule ◽  
Main Components ◽  
The Individual ◽  
The Cost ◽  
Daily Load ◽  
Final Consumer

The main differences in pricing and tariffing for industrial consumers of electricity with different forms of electricity metering are considered. Based on the analysis of tariff formation for the final consumer of electricity, components are identified that have a significant impact on the results of solving the problem of assessing the feasibility of the consumer's transition to hourly electricity metering. Such components include the cost of purchasing electricity in the market segment "day ahead" and the cost of accrued imbalances. The relative daily profile of electricity consumption is considered in order to study the influence of the features of the daily load schedule on the weighted average daily market price of electricity. The importance of estimating the cost of daily load profiles when comparing the cost of electricity for the consumer in the group with integrated electricity metering and in terms of individual hourly metering is substantiated. The effect of underestimation of volumes and value of imbalances in the group with integrated electricity metering in comparison with hourly accruals of volumes and value of imbalances is theoretically substantiated. The main components for comparative assessment of the expediency of the consumer's exit from the group with integrated metering of electricity and the transition to its hourly metering according to the individual daily load schedule are identified. Mathematical models for comparative calculations are developed. The use of these models allows to make an economically justified decision on the expediency of the consumer leaving the group without hourly metering of electricity to the model of purchasing electricity with hourly metering. The main approaches to such an assessment are demonstrated on the example of calculations for an industrial enterprise in some regions of Ukraine. Bibl. 15, fig. 3.

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