Perspectives of Participation of the Murmansk Region in the Price-Responsive Reduction of Electric Energy and Power Consumption

2020 ◽  
pp. 761-767
Author(s):  
V. V. Pobedonostseva ◽  
G. M. Pobedonostseva
Keyword(s):  
Power Consumption ◽  
Electric Energy ◽  
Murmansk Region

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 Data-Driven Repeated-Feedback Adjustment Strategy for Smart Grid Pricing

2021 ◽  
Vol 2021 ◽  
pp. 1-10
Author(s):  
Bingjie He ◽  
Qiaorong Dai ◽  
Aijuan Zhou ◽  
Jinxiu Xiao
Keyword(s):  
Power Consumption ◽  
Power Supply ◽  
Electric Energy ◽  
Power Market ◽  
Data Driven ◽  
The Novel ◽  
Real Power ◽  
The Real ◽  
Optimal Power ◽  
Adjustment Strategy

Applying the optimal problem, we get the optimal power supply and price. However, how to make the real power consumption close to the optimal power supply is still worth studying. This paper proposes a novel data-driven inverse proportional function-based repeated-feedback adjustment strategy to control the users’ real power consumption. With the repeated-feedback adjustment, we adjust the real-time prices according to changes in the power discrepancy between the optimal power supply and the users’ real power consumption. If and only if the power discrepancy deviates the preset range, the real power consumption in different periods will be adjusted through the change of the price, so the adjustment times is the least. Numerical results on real power market show that the novel inverse proportional function-based repeated-feedback adjustment strategy brought forward in the article achieves better effect than the linear one, that is to say, the adjustments times and standard error of the residuals are less. Meanwhile, profit and whole social welfare are more. The proposed strategy can obtain more steady and dependable consumption load close to the optimal power supply, which is conducive to the balanced supply of electric energy.

scholarly journals Smart Auditorium Automation system based on object recognition

2019 ◽  
Vol 8 (4) ◽  
pp. 11305-11310
Keyword(s):  
Object Recognition ◽  
Power Consumption ◽  
Electric Energy ◽  
Power Saving ◽  
Effective Control ◽  
Automation System ◽  
Air Conditioner ◽  
Smart Services ◽  
Electric Device ◽  
Electrical Devices

The word “smart” is being used in various fields and is worldwide accepted to mean intelligence. Smart services are one of the most emerging technologies being used in the IoT era, which has widely changed the equipment into more intelligent, remotely accessible, and interconnected. To use any electric device, we require to interact with it, or there is a need for the presence of a person at a particular place is needed. Moreover, to overcome this, The System examines the smart auditorium feature that current owners of the auditorium are facing about the power consumption by the auditorium and the wastage of the valuable electric energy. The proposed system helps in providing comfortable, efficient, and effective control of electrical devices like lights, Air conditioner, and achieve insignificant power saving.

MATHEMATICAL MODELS FOR MONITORING AND CONTROL OF ELECTRIC ENERGY CONSUMPTION WITH ACCOUNT OF THE SEASONAL FACTOR

2017 ◽  
Vol 11 (5) ◽  
pp. 133-140 ◽  
Author(s):  
Сергей Лавренченко ◽  
Sergey Lavrenchenko ◽  
Людмила Згонник ◽  
Lyudmila Zgonnik ◽  
Инна Гладская ◽  
...  
Keyword(s):  
Energy Consumption ◽  
Power Consumption ◽  
Electric Energy ◽  
Electricity Consumption ◽  
Daily Basis ◽  
Monitoring And Control ◽  
Theoretical Level ◽  
Electric Energy Consumption ◽  
Energy Meter ◽  
Seasonal Factor

The article proposes a method for predicting the daily energy consumption level for every day of a whole year, taking into account the season-al factor, based on only twelve actual power consumption data by the months of the year. Then a mathematical model is developed for moni-toring and controlling the level of electricity consumption on a daily basis, taking into account the seasonal factor. The model is consistent with a common model for the length of daylight (in hours). In addition, on the basis of this model, a method of monitoring and diagnostics of electricity consumption is presented, which will allow users to monitor the level of power consumption and be timely notified of any deviations from the theoretical level. Finally, this method gives rise to the operational principle for a proposed device, a smart energy meter, for detecting suspicious deviations from the theoretical level. The device will help timely detect over-consumption (or under-consumption) of electricity in order to take preventive measures. The proposed method consists of the following steps: (1) choice of a function to model the level of electricity consumption (theoretical calculated level), (2) choice of a tubular control neighborhood of the graph of the model function, (3) choice of a criterion on when the smart energy meter should notify the user of an unexpected deviation from the theoretical level in the case of exit from the tubular control neighborhood.

Electric Energy and Power Consumption by Light-Duty Plug-In Electric Vehicles

2011 ◽  
Vol 26 (2) ◽  
pp. 738-746 ◽  
Author(s):  
Di Wu ◽  
Dionysios C. Aliprantis ◽  
Konstantina Gkritza
Keyword(s):  
Power Consumption ◽  
Electric Vehicles ◽  
Electric Energy ◽  
Light Duty

Study on the Interactive Service Architecture for Industrial User in Smart Power Consumption

2012 ◽  
Vol 614-615 ◽  
pp. 880-886
Author(s):  
Xiao Hui Xu ◽  
Dong Lei Chen ◽  
Yang Wen
Keyword(s):  
Power Consumption ◽  
Electric Power ◽  
Power Distribution ◽  
Electric Energy ◽  
Information Support ◽  
Smart Power ◽  
Service Architecture ◽  
Line Loss ◽  
Measurement And Control ◽  
Interactive Service

The objective of smart power consumption system is to make the large industrial user communicate actively with electric power operator by the means of smart measurement and control. The necessity of interactions between electric power corporation and large industrial users was analyzed. Then the interactive service architecture for large industrial user in smart power consumption and the relations among parts of the architecture were studied. The functions and key technologies of the interactive service architecture were also discussed. Further, by collecting the information such as internal power consumption information, device running information, laws of production, and development tend information et al., the electric power corporation can offer personalized, diversified, facilitated and interactive services for large industrial users. And the corporation can provide necessary information support for electric grid dispatching, power distribution planning, electric energy quality, line loss and power supply reliability.

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 METHOD OF MEASURING POWER CONSUMPTION OF ELECTRIC RECEIVERS ON THE EXAMPLE OF THE EDUCATIONAL BUILDING OF SUMY STATE UNIVERSITY

2020 ◽  
pp. 100-104
Author(s):  
S. Yu. Shevchenko ◽  
І. І. Borzenkov ◽  
I. L. Lebedinsky
Keyword(s):  
Control System ◽  
Power Consumption ◽  
Data Processing ◽  
Automatic Control ◽  
Energy Saving ◽  
Automatic Control System ◽  
Electric Energy ◽  
Electricity Consumption ◽  
Educational Process ◽  
Accounting System

Commercial means of automatic control system of electricity metering, as is known, are installed on the input switchgear and measure the power consumption of all electrical consumers of this metering facility. Such data do not give a complete picture of electricity consumption on each floor of the metering facility, which in turn does not allow the implementation of energy saving measures. Also, these metering systems for electricity metering have a high cost. The article proposes a method of data processing and transmission to the server with their subsequent analysis of power consumption on each floor of the object under study using the ARDUINO microcontroller. Such an accounting system has a lower cost than an automatic control system of electricity metering industrial production. The article presents the scheme of implementation and types of current and voltage sensors. The topology of the measuring complex is also considered in the article. Such a topology can expand and keep not only the general account of a concrete floor, but also in the generality of each educational audience separately. Collecting such data on electricity consumption, it is possible to conduct a qualitative analysis of rational electricity consumption in the educational process, it means that for example in sufficient natural light artificial lighting in the classroom does not need to be used, or after laboratory tasks in a computer class, computers there is still some time. The introduction of energy-saving housing is performed due to the comparative characteristics of the power of gadgets, laboratory stands, etc. with the number of students in the group in accordance with the approved educational process. The algorithm of data processing, analysis of rational use of electric energy and comparative characteristics are implemented on the university server.

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