CN113376456A - Cloud platform-based method for analyzing and managing electric quantity and electric charge of large electric power user - Google Patents
Cloud platform-based method for analyzing and managing electric quantity and electric charge of large electric power user Download PDFInfo
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Abstract
The invention belongs to the technical field of power grids, and particularly relates to a cloud platform-based method for analyzing and treating electric quantity and electric charge of a large electric power user. The method comprises the steps of establishing a service application platform for analyzing and managing the electric quantity and the electric charge of a large-power user; establishing a large power user profile; establishing a power quality analysis and treatment business module; establishing a reactive power analysis and treatment business module; establishing a power utilization safety monitoring management service module; establishing a multi-loop electric quantity and electricity charge analysis service module; establishing a transformer area loss line loss analysis and treatment business module; and establishing a service module of the electric charge analysis optimization scheme. The invention is used for the large power user to master the overall energy consumption condition, optimize the energy consumption structure and save the power consumption cost. The method and the device solve the problem of how to optimize and select the basic electricity charge pricing mode when the electricity consumption of the expansion installation or the business expansion is changed, are helpful for a user to select or change the pricing mode according to the maximum demand of the actual electricity consumption to realize the minimum basic electricity charge expenditure, reasonably determine the maximum demand contract check value and improve the electric energy use efficiency of an enterprise.
Description
Technical Field
The invention belongs to the technical field of power grids, and particularly relates to a cloud platform-based method for analyzing and managing electric quantity and electric charge of a large electric power user.
Background
The large-power user generally refers to a power user with large power consumption capacity and large power consumption, and the power user is supplied with power by adopting a special line, so that the requirement on power supply reliability is high, and the cost of consumed electric charges is high. The electricity consumption of the large-power user occupies most of the electricity selling quantity of the power supply company, and is the most main source of the electricity selling profits of the power supply enterprise. The value and the development potential of large-power users are powerful bases for decision making and service measures of power supply enterprises. The systematization and high efficiency of the analysis and management of the electric quantity and the electric charge of the large-power user are not only related to the quality of the operation and the management of the internal organization of the power supply enterprise, but also related to the economic benefit and the social benefit of the long-term development of the power supply enterprise. By well analyzing and managing the electric quantity and the electric charge of the large-power user, convenience is provided for the user to the maximum extent, and the healthy development of the power user is guaranteed.
With the development of national economy, the power load is increasingly complicated and diversified, a large number of loads with nonlinear, impact and unbalanced characteristics are connected into a power grid, and the power quality is increasingly deteriorated; meanwhile, the requirements of computer systems used in large quantities in modern industry and commerce and rapidly developed high and new technology industries on the quality of electric energy are higher and higher, and particularly once problems occur in some electric energy quality sensitive enterprises, great economic losses can be generated.
Disclosure of Invention
Aiming at the defects in the prior art, the invention provides a cloud platform-based method for analyzing and treating the electric quantity and the electric charge of a large electric power user. The invention aims to realize the purposes of establishing dimensional monitoring analysis and management such as power quality analysis and management, reactive power management, power utilization safety management, multi-loop power quantity and power charge analysis, transformer area loss and line loss analysis and management, power charge analysis and power charge optimization schemes and the like, improving the understanding of a large power user on the self power use condition, helping the large power user to analyze the energy consumption condition of each energy utilization unit, finding out a place capable of being improved and finally gradually improving the integral power use efficiency.
The technical scheme adopted by the invention for realizing the purpose is as follows:
the method for analyzing and managing the electric quantity and the electric charge of the large electric power user based on the cloud platform comprises the following steps:
step 1, building a service application platform for analyzing and treating electric quantity and electric charge of a large-power user;
step 2, establishing a large power user file;
step 3, establishing a power quality analysis and treatment business module;
step 4, establishing a reactive power analysis and treatment business module;
step 5, establishing an electricity safety monitoring management service module;
step 6, establishing a multi-loop electric quantity and electricity charge analysis service module;
step 7, establishing a transformer area loss line loss analysis and management business module;
and 8, establishing a service module of the electric charge analysis optimization scheme.
Furthermore, the establishment of the electric power and electricity charge analysis and management service application platform for the large electric power user in the step 1 combines cloud computing, internet of things, a large data technology, electricity information acquisition and electricity charge management service, and provides the large electric power and electricity charge cloud service integrating electric energy quality analysis and management, reactive electricity management, electricity safety management, multi-loop electric quantity and electricity charge analysis, transformer area loss and line loss analysis and management, and electricity charge analysis and electricity charge optimization; the method comprises a remote Internet of things equipment acquisition system, an electric energy quality analysis system, a safety power utilization monitoring system, reactive power analysis and management, multi-loop electric quantity and electric charge analysis, transformer area loss and line loss analysis and management and an electric charge analysis optimization scheme;
the remote Internet of things equipment acquisition system acquires power operation basic data in an Internet of things mode, transmits data through 2G, 3G and 4G mobile signals, acquires remote Internet of things data such as an intelligent acquisition instrument, an electric energy quality control device and safety electricity utilization sensing equipment, and forms a key index sample data pool; the safety electricity utilization sensing equipment comprises an electrical fire detector, a residual current transformer and a temperature sensor; the electric energy quality management device comprises an active compensation unit and a passive compensation unit;
the system for analyzing the power quality comprises a power data acquisition module, a power quality analysis module, an alarm management module and a system management module; the electric energy data acquisition module is connected with a remote Internet of things equipment acquisition system and extracts key index data consisting of voltage deviation, frequency deviation three-phase unbalance, harmonic waves, voltage fluctuation flicker, voltage sag and the like; the electric energy quality analysis module receives the data of the electric energy data acquisition module, processes the data again to generate analysis report data, and outputs the analysis report data to an authority user through the system; the alarm management module receives the data of the electric energy data acquisition module, identifies the abnormality, compares the abnormality with a threshold value, generates an overrun alarm and pushes the overrun alarm to an event management responsible person; the system management module is used for performing parameter maintenance and system setting management through a system;
the monitoring safety power utilization system comprises a safety power utilization sensing equipment acquisition module, a real-time monitoring module, a hidden danger management module and a data analysis module; connecting a remote Internet of things equipment acquisition system, and extracting key index data acquired by the safety power utilization sensing equipment; the real-time monitoring module receives the power operation state data acquired by the all-power consumption sensing equipment acquisition module and monitors the operation stability of the power facility in real time; the hidden danger management module is connected with the real-time monitoring module, dynamically identifies potential safety hazards existing in the overrun indexes, and transmits a result state back to the system in an information form; the data analysis module is connected with the full power consumption sensing equipment acquisition module and the hidden danger management module, processes the received data and result states, generates an analysis report and outputs the analysis report to an authority user through a system;
the reactive power analysis and management is connected with a remote Internet of things equipment acquisition system, key index data of the reactive power are extracted, the reactive power analysis is carried out, a management report is generated through the system, and the management report is output to an authority user;
the multi-loop electric quantity and electricity charge analysis is connected with a remote Internet of things equipment acquisition system, key index data of the multi-loop electric quantity and electricity charge are extracted, the multi-loop electric quantity and electricity charge analysis is carried out, an analysis report is generated through the system, and the analysis report is output to an authority user;
analyzing and managing the loss line loss of the transformer area, connecting a remote Internet of things equipment acquisition system, extracting key index data of the loss line loss of the transformer area, analyzing the loss line loss of the transformer area, generating a management report through the system, and outputting the management report to an authority user;
the analysis electric charge optimization scheme comprises a large user electric quantity and electric charge data management module, an effective data model analysis module and an optimization scheme management module; the large-user electric quantity and electricity charge data management module extracts monthly average electric quantity, power factors, average electricity prices, peak-to-valley proportion and daily load curve data of a specified user; the effective data model analysis module is connected with the large-user electric quantity and electricity charge data management module, and the space is saved through model algorithm analysis; optimizing the scheme, and returning the result state to the system; the management module is connected with the effective data model analysis module, data of an optimization scheme is carried out according to the result state returned to the system by the model algorithm, and the optimization scheme is output from the aspects of reasonably distributing transformer load, optimizing power consumption time period and enhancing reactive compensation quality.
Further, step 2, establishing a large power user profile; the method comprises the following steps: the enterprise name, address, capacity and voltage are consistent with the actual field information; the front-end Internet of things sensing equipment is installed for service users and comprises an intelligent acquisition instrument, an electric energy quality treatment device, safe electricity utilization sensing equipment, a communication management machine and a wireless transmission unit, and electric power operation data of the users are accessed into a system.
Further, the step 3 of establishing an electric energy quality analysis governance service module, which comprises voltage deviation, frequency deviation, three-phase imbalance, harmonic, voltage fluctuation flicker and voltage sag, accessing an electric energy database, combining with an intelligent analysis model, providing line loss analysis, curve analysis and statistical analysis for the system, analyzing and governing reactive compensation and harmonic governance problems in a power supply and distribution system, acquiring key data indexes in time, combining with the intelligent analysis model, systematically managing reactive compensation, harmonic suppression and comprehensive governance of electrical equipment, improving power supply quality and ensuring safe and economic operation of the electrical power system by depending on an active power filter, a low-voltage reactive power compensation device, a static reactive generator, a hybrid dynamic filtering compensation device, a hybrid dynamic harmonic cancellation compensation device, an intelligent dynamic reactive power compensation device and a harmonic protector.
Further, the reactive power analysis and management service module is established in the step 4, and through power consumption data analysis, the power factor of a power grid is improved in a power supply system, the loss of a power supply transformer and a transmission line is reduced, the power supply efficiency is improved, and the power supply environment is improved.
Further, the step 5 of establishing an electricity safety monitoring management service module comprises a rapid workbench, real-time monitoring and hidden danger management; the rapid workbench displays tasks and alarm messages which need to be processed currently, the monthly hidden danger and fault statistics, project information map navigation and overview business overall situation; the real-time monitoring and checking device information and detector information under the project name, wherein the detector detailed information comprises project name, belonging devices, residual current, temperature, three-phase voltage and current, DI and DO real-time state information; meanwhile, a manager with authority carries out remote resetting and switching on and switching off operations on the monitoring unit; the hidden danger management comprises functions of hidden danger inspection, hidden danger processing, hidden danger recording, hidden danger reminding, work order processing and hidden danger batch processing.
Further, the multi-loop electric quantity and electricity charge analysis service module is established in the step 6, multi-loop three-phase four-wire electric quantity data are measured and collected in real time through front-end internet of things equipment, isolation and sensing of signals of each channel are achieved through a high-precision current voltage transformer, and effective value parameters of current and voltage power of various waveforms are measured through a special 24-bit high-precision effective measurement chip in signal measurement; adopting RS-485 bus MODBUS-RTU protocol; the system builds effective data, builds an analysis model, and effectively realizes automatic detection, monitoring and big data analysis.
Further, the step 7 of establishing a distribution room loss line loss analysis and management service module classifies the abnormal electric quantity data by a method for repairing the abnormal electric quantity data in the system, and provides different types of repairing methods for the abnormal electric quantity data; and (3) establishing an effective model through example analysis, and realizing the functions of analysis of the qualification rate of the line loss of the transformer area, detailed line loss of the unqualified transformer area, historical curve of the line loss rate of the transformer area, fluctuation analysis of the line loss rate of the transformer area and data downloading.
Further, in the step 8, the service module for establishing the electric charge analysis optimization scheme is that the electricity consumer executes two electricity making prices, namely, the two electricity making prices consist of basic electricity prices and electricity degree electricity prices, and the sum of the basic electricity charges and the electricity degree electricity charges forms chargeable electricity charges; the customer who carries out two electricity prices carries out the power factor to adjust the electricity charge method according to the height of the power factor; the system carries out overall evaluation and reminding on the special transformer users by monitoring the power utilization condition of the large power users in real time and adopting effective data model analysis.
A computer storage medium is stored with a computer program, and when the computer program is executed by a processor, the steps of the cloud platform-based electric power large user electricity quantity and electricity charge analysis and treatment method are realized.
The invention has the following beneficial effects and advantages:
according to the invention, the service application platform for analyzing and governing the electric quantity and the electric charge of the large power user is established, and the total energy consumption condition can be mastered for the large power user, so that the energy consumption structure is optimized, and the power consumption cost is saved. Real-time power consumption data and electric power facility running state of gathering through thing networking equipment before the platform, combine the big user self condition of electric power, analysis electric energy quality, monitoring safe power consumption state, platform district loss line loss analysis is administered, analysis charges of electricity optimization scheme etc, master the general energy consumption condition for the big user of electric power, supplementary the big user of electric power, the whole load of grid enterprises and energy-conserving service company at different periods to the user at different levels, the component structure of electric quantity charges of electricity and the flat electric quantity charges of peak valley, optimize the energy consumption structure, provide effective data and support, further help the enterprise to know self energy consumption situation, thereby help the enterprise to know difference and modified direction wherein. Meanwhile, by means of effective data support, the problem of how to optimize and select the basic electricity charge pricing mode when a large-power user expands and submits electricity for installation or business expansion changes can be solved, the user can select or change the pricing mode according to the maximum demand of actual electricity to realize minimum basic electricity charge expenditure, and the maximum demand contract check value is reasonably determined, so that the purpose of saving electricity cost is achieved, and the electric energy use efficiency of an enterprise is finally gradually improved.
Drawings
The above and/or additional aspects and advantages of the present invention will become apparent and readily appreciated from the following description of the embodiments, taken in conjunction with the accompanying drawings of which:
FIG. 1 is an overall architectural diagram of the present invention;
FIG. 2 is a schematic diagram of the power quality analysis and treatment function structure of the present invention;
FIG. 3 is a schematic diagram of the power consumption safety monitoring management function of the present invention;
fig. 4 is a simplified flow chart of the electric charge analysis optimization scheme of the present invention.
Detailed Description
In order that the above objects, features and advantages of the present invention can be more clearly understood, a more particular description of the invention will be rendered by reference to the appended drawings. It should be noted that the embodiments and features of the embodiments of the present application may be combined with each other without conflict.
In the following description, numerous specific details are set forth in order to provide a thorough understanding of the present invention, however, the present invention may be practiced in other ways than those specifically described herein, and therefore the scope of the present invention is not limited by the specific embodiments disclosed below.
The solution of some embodiments of the invention is described below with reference to fig. 1-4.
Example 1
The invention discloses a cloud platform-based method for analyzing and managing electric quantity and electric charge of a large electric power user, which is shown in figure 1, wherein figure 1 is an overall architecture diagram of the cloud platform-based method.
The invention relates to a method for analyzing and treating electric quantity and electric charge of a large electric power user based on a cloud platform, which is based on an established service application platform for analyzing and treating the electric quantity and the electric charge of the large electric power user, and comprises the following steps: the system comprises a remote Internet of things equipment acquisition system, an electric energy quality analysis system, a monitoring safety power utilization system, a reactive power analysis and management scheme, a multi-loop electric quantity and electric charge analysis and management scheme, a transformer area loss and line loss analysis and management scheme and an electric charge analysis and optimization scheme.
The remote Internet of things equipment acquisition system acquires power operation basic data in an Internet of things mode, acquires remote Internet of things data such as intelligent acquisition instruments, electric energy quality management devices and safety power utilization sensing equipment according to 2G, 3G and 4G mobile signal transmission data, and forms a key index sample data pool. The safety electricity utilization sensing equipment refers to an electrical fire detector, a residual current transformer, a temperature sensor and the like.
The device is administered to power quality includes active compensation unit and passive compensation unit, and active compensation unit and passive compensation unit all can set up on the device is administered to power quality in a pluggable way, when one of them damages, can pull out the compensation unit of damage and maintain alone, does not influence the use of other modules in the device is administered to power quality, has reduced later stage cost of maintenance.
The system for analyzing the power quality comprises a power data acquisition module, a power quality analysis module, an alarm management module and a system management module; the electric energy data acquisition module is connected with a remote Internet of things equipment acquisition system and extracts key index data consisting of voltage deviation, frequency deviation three-phase unbalance, harmonic waves, voltage fluctuation flicker, voltage sag and the like; the electric energy quality analysis module receives the data of the electric energy data acquisition module, processes the data again to generate analysis report data, and outputs the analysis report data to an authority user through the system; the alarm management module receives the data of the electric energy data acquisition module, identifies the abnormality, compares the abnormality with a threshold value, generates an overrun alarm and pushes the overrun alarm to an event management responsible person; the system management module carries out management such as parameter maintenance, system setting and the like through the system.
The monitoring safety power utilization system comprises a safety power utilization sensing equipment acquisition module, a real-time monitoring module, a hidden danger management module and a data analysis module; connecting a remote Internet of things equipment acquisition system, and extracting key index data acquired by the safety power utilization sensing equipment; the real-time monitoring module receives the power operation state data acquired by the all-power consumption sensing equipment acquisition module and monitors the operation stability of the power facility in real time; the hidden danger management module is connected with the real-time monitoring module, dynamically identifies potential safety hazards existing in the overrun indexes, and transmits a result state back to the system in an information form; the data analysis module is connected with the full power consumption sensing equipment acquisition module and the hidden danger management module, processes the received data and result states, generates an analysis report and outputs the analysis report to an authority user through a system;
the reactive power analysis and management is connected with a remote Internet of things equipment acquisition system, key index data of the reactive power are extracted, the reactive power analysis is carried out, a management report is generated through the system, and the management report is output to an authority user;
the multi-loop electric quantity and electricity charge analysis is connected with a remote Internet of things equipment acquisition system, key index data of the multi-loop electric quantity and electricity charge are extracted, the multi-loop electric quantity and electricity charge analysis is carried out, an analysis report is generated through the system, and the analysis report is output to an authority user;
analyzing and managing the loss line loss of the transformer area, connecting a remote Internet of things equipment acquisition system, extracting key index data of the loss line loss of the transformer area, analyzing the loss line loss of the transformer area, generating a management report through the system, and outputting the management report to an authority user;
the analysis electric charge optimization scheme comprises a large user electric quantity and electric charge data management module, an effective data model analysis module and an optimization scheme management module; the large-user electric quantity and electricity charge data management module extracts key data such as monthly average electric quantity, power factors, average electricity price, peak-to-valley proportion, daily load curves and the like of a specified user; the effective data model analysis module is connected with the large-user electric quantity and electricity charge data management module, and the space is saved through model algorithm analysis; optimizing the scheme, and returning the result state to the system; the management module is connected with the effective data model analysis module, data of an optimization scheme is carried out according to the result state returned to the system by the model algorithm, and the optimization scheme is output from the aspects of reasonably distributing transformer load, optimizing power consumption time period, enhancing reactive compensation quality and the like.
Example 2
The invention relates to a cloud platform-based method for analyzing and managing electric quantity and electric charge of a large electric power user, which specifically comprises the following steps:
step 1: the method comprises the steps of building a service application platform for analyzing and managing electric quantity and electric charge of large electric users, combining cloud computing, the Internet of things, a large data technology with electric information collection and electric quantity and electric charge management services, and providing the cloud service for analyzing and managing electric energy quality, managing reactive electric quantity, managing electric safety, analyzing and managing multi-loop electric quantity and electric charge, analyzing and managing station area loss and line loss, and analyzing and optimizing electric charge of the large electric users.
Step 2: and establishing a large power user file, such as enterprise name, address, capacity, voltage and the like, on the large power user electric quantity and electric charge analysis and treatment service application platform, wherein the large power user file is consistent with actual field information. The front-end Internet of things sensing equipment is installed for service users and comprises an intelligent acquisition instrument, an electric energy quality treatment device, safe electricity utilization sensing equipment, a communication management machine and a wireless transmission unit, and electric power operation data of the users are accessed into a system.
And step 3: as shown in fig. 2, fig. 2 is a schematic diagram of the power quality analysis abatement function structure of the present invention. Establishing an electric energy quality analysis and treatment business module on the electric power large user electric quantity and electricity charge analysis and treatment business application platform, connecting an electric energy database, combining an intelligent analysis model, providing a line loss analysis, a curve analysis and a statistical analysis for a system to analyze and treat reactive compensation and harmonic treatment problems in a power supply and distribution system by relying on electric energy data acquisition, including voltage deviation, frequency deviation, three-phase imbalance, harmonic waves, voltage fluctuation flicker, voltage sag and the like, obtaining key data indexes by time by relying on an active electric power filter, a low-voltage reactive power compensation device, a static reactive power generator, a mixed dynamic filtering compensation device, a mixed dynamic harmonic elimination compensation device, an intelligent dynamic reactive power compensation device, a harmonic protector and the like, systematically managing reactive power compensation, harmonic inhibition, comprehensive treatment and the like of electric equipment by combining the intelligent analysis model, the purposes of improving the power supply quality and ensuring the safe and economic operation of the power system are achieved.
And 4, step 4: the reactive power analysis and treatment business module is established on the electric power large user electric quantity and electric charge analysis and treatment business application platform, and the function of improving the power factor of a power grid in an electric power supply system is provided through electric power data analysis, so that the loss of a power supply transformer and a transmission line is reduced, the power supply efficiency is improved, and the power supply environment is improved.
The power utilization data refers to the real-time states of data indexes such as electric quantity, multi-rate electric quantity, power factor, active power, reactive power, current, voltage, demand, current phase angle, voltage phase angle and the like of each circuit accessed to relevant monitoring points of enterprise users.
And 5: as shown in fig. 3, fig. 3 is a schematic diagram of the electric safety monitoring and management function of the present invention. The building of the electricity safety monitoring management service module comprises a rapid workbench, real-time monitoring, hidden danger management and the like.
The rapid workbench displays tasks and alarm messages which need to be processed currently, the monthly hidden danger and fault statistics, project information map navigation and overview business overall situation; the real-time monitoring can check the equipment information and the detector information under the project name, and the detailed detector information comprises the project name, the equipment to which the project belongs, residual current, temperature, three-phase voltage and current, DI, DO and other real-time state information. Meanwhile, the manager with authority can perform remote resetting, opening and closing operations and the like on the monitoring unit; the hidden danger management comprises functions of hidden danger inspection, hidden danger processing, hidden danger recording, hidden danger reminding, work order processing, hidden danger batch processing and the like.
Step 6: big user's of electric power electric quantity charges of electricity analysis administers business application platform establishes multiloop electric quantity charges of electricity analysis business module, through front end thing networking equipment, and real-time measurement gathers multiloop three-phase four-wire electric quantity data, can three-phase three-wire or three-phase four-wire, adopts high-accuracy current voltage transformer to realize the isolation and the sensing of every channel signal, and signal measurement adopts special 24 high accuracy effective measurement chips, can accurate measurement various wave forms effective value parameters such as electric current, voltage power, the precision is high, and stability is good. And an RS-485 bus MODBUS-RTU protocol is adopted. The system builds effective data, builds an analysis model, and effectively realizes automatic detection, monitoring and big data analysis.
And 7: and establishing a transformer area loss and line loss analysis and treatment business module on the electric quantity and electricity charge analysis and treatment business application platform of the large power user, wherein line loss management is an important measure for reducing electric energy loss of power supply enterprises, and is also an important way for promoting energy conservation and emission reduction work by governments. The transformer area loss line loss accounts for a large proportion in the line loss of the whole power system, the electric energy loss can be reduced through transformer area line loss management, the electricity stealing behavior can be found in time, and meanwhile, an abnormal metering device can be found. The abnormal electric quantity data are classified by a method for repairing the abnormal electric quantity data in the system, and different types of methods for repairing the abnormal electric quantity data are provided. And establishing an effective model through example analysis. The functions of analyzing the qualification rate of the line loss of the transformer area, detailing the line loss of the unqualified transformer area, analyzing the historical curve of the line loss rate of the transformer area, analyzing the fluctuation of the line loss rate of the transformer area, downloading data and the like are realized.
And 8: as shown in fig. 4, fig. 4 is a simplified flow chart of the electric charge analysis optimization scheme of the present invention. According to the service module for establishing the electric charge analysis optimization scheme, the large power user executes two electric charges, namely the two electric charges consist of the basic electric charges and the electric charge, so that the sum of the basic electric charges and the electric charge constitutes the chargeable electric charge. The customers who implement two electricity prices also need to implement a method for adjusting the electricity charges by the power factor according to the power factor. The system reminds the special transformer users of reasonably distributing transformer loads, optimizing power consumption time intervals, strengthening reactive compensation management and the like by monitoring the power consumption condition of the large power users in real time and analyzing by adopting an effective data model according to information such as monthly average electric quantity, average power price, power factors, peak-valley proportion, daily load curve, equipment condition evaluation, total power consumption condition evaluation and the like of the special transformer users, so that the purposes of reasonably using power, saving power charge and improving enterprise benefits are achieved.
The enterprise electric charge in the electric charge analysis optimization scheme is composed of electric power electric charge, capacity charge and power rate adjustment electric charge. According to the electricity price management method, after the user changes the capacity electricity consumption into the maximum demand electricity consumption, the optimized saved cost is that the maximum demand charging cost is subtracted from the capacity charging cost.
Example 3
Based on the same inventive concept, an embodiment of the present invention further provides a computer storage medium, where a computer program is stored on the computer storage medium, and when the computer program is executed by a processor, the steps of the method for analyzing and managing electricity consumption and electricity fee of a large power user based on a cloud platform described in embodiment 1 or 2 are implemented.
As will be appreciated by one skilled in the art, embodiments of the present application may be provided as a method, system, or computer program product. Accordingly, the present application may take the form of an entirely hardware embodiment, an entirely software embodiment or an embodiment combining software and hardware aspects. Furthermore, the present application may take the form of a computer program product embodied on one or more computer-usable storage media (including, but not limited to, disk storage, CD-ROM, optical storage, and the like) having computer-usable program code embodied therein.
The present application is described with reference to flowchart illustrations and/or block diagrams of methods, apparatus (systems), and computer program products according to embodiments of the application. It will be understood that each flow and/or block of the flow diagrams and/or block diagrams, and combinations of flows and/or blocks in the flow diagrams and/or block diagrams, can be implemented by computer program instructions. These computer program instructions may be provided to a processor of a general purpose computer, special purpose computer, embedded processor, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, create means for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be stored in a computer-readable memory that can direct a computer or other programmable data processing apparatus to function in a particular manner, such that the instructions stored in the computer-readable memory produce an article of manufacture including instruction means which implement the function specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be loaded onto a computer or other programmable data processing apparatus to cause a series of operational steps to be performed on the computer or other programmable apparatus to produce a computer implemented process such that the instructions which execute on the computer or other programmable apparatus provide steps for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
Finally, it should be noted that: the above embodiments are only for illustrating the technical solutions of the present invention and not for limiting the same, and although the present invention is described in detail with reference to the above embodiments, those of ordinary skill in the art should understand that: modifications and equivalents may be made to the embodiments of the invention without departing from the spirit and scope of the invention, which is to be covered by the claims.
Claims (10)
1. The method for analyzing and treating the electric quantity and the electric charge of the large electric power user based on the cloud platform is characterized by comprising the following steps: the method comprises the following steps:
step 1, building a service application platform for analyzing and treating electric quantity and electric charge of a large-power user;
step 2, establishing a large power user file;
step 3, establishing a power quality analysis and treatment business module;
step 4, establishing a reactive power analysis and treatment business module;
step 5, establishing an electricity safety monitoring management service module;
step 6, establishing a multi-loop electric quantity and electricity charge analysis service module;
step 7, establishing a transformer area loss line loss analysis and management business module;
and 8, establishing a service module of the electric charge analysis optimization scheme.
2. The cloud platform-based method for analyzing and managing the electricity quantity and the electricity charge of the large electricity user, as claimed in claim 1, wherein: step 1, establishing a service application platform for analyzing and managing electric quantity and electric charge of a large electric power user, combining cloud computing, Internet of things, a large data technology with electric information acquisition and electric quantity and electric charge management services, and providing the large user electric quantity and electric charge cloud service integrating electric quality analysis and management, reactive electric quantity management, electric safety management, multi-loop electric quantity and electric charge analysis, transformer area loss and line loss analysis and management, electric charge analysis and electric charge optimization; the method comprises a remote Internet of things equipment acquisition system, an electric energy quality analysis system, a safety power utilization monitoring system, reactive power analysis and management, multi-loop electric quantity and electric charge analysis, transformer area loss and line loss analysis and management and an electric charge analysis optimization scheme;
the remote Internet of things equipment acquisition system acquires power operation basic data in an Internet of things mode, transmits data through 2G, 3G and 4G mobile signals, acquires remote Internet of things data such as an intelligent acquisition instrument, an electric energy quality control device and safety electricity utilization sensing equipment, and forms a key index sample data pool; the safety electricity utilization sensing equipment comprises an electrical fire detector, a residual current transformer and a temperature sensor; the electric energy quality management device comprises an active compensation unit and a passive compensation unit;
the system for analyzing the power quality comprises a power data acquisition module, a power quality analysis module, an alarm management module and a system management module; the electric energy data acquisition module is connected with a remote Internet of things equipment acquisition system and extracts key index data consisting of voltage deviation, frequency deviation three-phase unbalance, harmonic waves, voltage fluctuation flicker, voltage sag and the like; the electric energy quality analysis module receives the data of the electric energy data acquisition module, processes the data again to generate analysis report data, and outputs the analysis report data to an authority user through the system; the alarm management module receives the data of the electric energy data acquisition module, identifies the abnormality, compares the abnormality with a threshold value, generates an overrun alarm and pushes the overrun alarm to an event management responsible person; the system management module is used for performing parameter maintenance and system setting management through a system;
the monitoring safety power utilization system comprises a safety power utilization sensing equipment acquisition module, a real-time monitoring module, a hidden danger management module and a data analysis module; connecting a remote Internet of things equipment acquisition system, and extracting key index data acquired by the safety power utilization sensing equipment; the real-time monitoring module receives the power operation state data acquired by the all-power consumption sensing equipment acquisition module and monitors the operation stability of the power facility in real time; the hidden danger management module is connected with the real-time monitoring module, dynamically identifies potential safety hazards existing in the overrun indexes, and transmits a result state back to the system in an information form; the data analysis module is connected with the full power consumption sensing equipment acquisition module and the hidden danger management module, processes the received data and result states, generates an analysis report and outputs the analysis report to an authority user through a system;
the reactive power analysis and management is connected with a remote Internet of things equipment acquisition system, key index data of the reactive power are extracted, the reactive power analysis is carried out, a management report is generated through the system, and the management report is output to an authority user;
the multi-loop electric quantity and electricity charge analysis is connected with a remote Internet of things equipment acquisition system, key index data of the multi-loop electric quantity and electricity charge are extracted, the multi-loop electric quantity and electricity charge analysis is carried out, an analysis report is generated through the system, and the analysis report is output to an authority user;
analyzing and managing the loss line loss of the transformer area, connecting a remote Internet of things equipment acquisition system, extracting key index data of the loss line loss of the transformer area, analyzing the loss line loss of the transformer area, generating a management report through the system, and outputting the management report to an authority user;
the analysis electric charge optimization scheme comprises a large user electric quantity and electric charge data management module, an effective data model analysis module and an optimization scheme management module; the large-user electric quantity and electricity charge data management module extracts monthly average electric quantity, power factors, average electricity prices, peak-to-valley proportion and daily load curve data of a specified user; the effective data model analysis module is connected with the large-user electric quantity and electricity charge data management module, and the space is saved through model algorithm analysis; optimizing the scheme, and returning the result state to the system; the management module is connected with the effective data model analysis module, data of an optimization scheme is carried out according to the result state returned to the system by the model algorithm, and the optimization scheme is output from the aspects of reasonably distributing transformer load, optimizing power consumption time period and enhancing reactive compensation quality.
3. The cloud platform-based method for analyzing and managing the electricity quantity and the electricity charge of the large electricity user, as claimed in claim 1, wherein: step 2, establishing a large power user profile; the method comprises the following steps: the enterprise name, address, capacity and voltage are consistent with the actual field information; the front-end Internet of things sensing equipment is installed for service users and comprises an intelligent acquisition instrument, an electric energy quality treatment device, safe electricity utilization sensing equipment, a communication management machine and a wireless transmission unit, and electric power operation data of the users are accessed into a system.
4. The cloud platform-based method for analyzing and managing the electricity quantity and the electricity charge of the large electricity user, as claimed in claim 1, wherein: and 3, establishing an electric energy quality analysis and treatment business module which comprises voltage deviation, frequency deviation, three-phase imbalance, harmonic waves, voltage fluctuation flicker and voltage sag, accessing an electric energy database, combining an intelligent analysis model, providing line loss analysis, curve analysis and statistical analysis for a system, analyzing and treating reactive compensation and harmonic treatment problems in a power supply and distribution system, acquiring key data indexes by time, systematically managing reactive compensation, harmonic inhibition and comprehensive treatment of electrical equipment by combining the intelligent analysis model, and improving power supply quality and ensuring safe and economic operation of the electrical power system by relying on an active power filter, a low-voltage reactive power compensation device, a static reactive power generator, a hybrid dynamic filtering compensation device, a hybrid dynamic harmonic elimination compensation device, an intelligent dynamic reactive power compensation device and a harmonic protector.
5. The cloud platform-based method for analyzing and managing the electricity quantity and the electricity charge of the large electricity user, as claimed in claim 1, wherein: and 4, establishing a reactive power analysis and treatment business module, and improving the power factor of a power grid, reducing the loss of a power supply transformer and a transmission line, improving the power supply efficiency and improving the power supply environment in the power supply system through power consumption data analysis.
6. The cloud platform-based method for analyzing and managing the electricity quantity and the electricity charge of the large electricity user, as claimed in claim 1, wherein: step 5, establishing an electricity safety monitoring management service module, which comprises a rapid workbench, real-time monitoring and hidden danger management; the rapid workbench displays tasks and alarm messages which need to be processed currently, the monthly hidden danger and fault statistics, project information map navigation and overview business overall situation; the real-time monitoring and checking device information and detector information under the project name, wherein the detector detailed information comprises project name, belonging devices, residual current, temperature, three-phase voltage and current, DI and DO real-time state information; meanwhile, a manager with authority carries out remote resetting and switching on and switching off operations on the monitoring unit; the hidden danger management comprises functions of hidden danger inspection, hidden danger processing, hidden danger recording, hidden danger reminding, work order processing and hidden danger batch processing.
7. The cloud platform-based method for analyzing and managing the electricity quantity and the electricity charge of the large electricity user, as claimed in claim 1, wherein: step 6, establishing a multi-loop electric quantity and electricity charge analysis service module, measuring and collecting multi-loop three-phase four-wire electric quantity data in real time through front-end Internet of things equipment, realizing isolation and sensing of signals of each channel by adopting a high-precision current voltage transformer, and measuring effective value parameters of current and voltage power of various waveforms by adopting a special 24-bit high-precision effective measurement chip for signal measurement; adopting RS-485 bus MODBUS-RTU protocol; the system builds effective data, builds an analysis model, and effectively realizes automatic detection, monitoring and big data analysis.
8. The cloud platform-based method for analyzing and managing the electricity quantity and the electricity charge of the large electricity user, as claimed in claim 1, wherein: step 7, establishing a distribution room loss line loss analysis and management business module, classifying abnormal electric quantity data through a repairing method of the abnormal electric quantity data in the system, and providing repairing methods of different types of abnormal electric quantity data; and (3) establishing an effective model through example analysis, and realizing the functions of analysis of the qualification rate of the line loss of the transformer area, detailed line loss of the unqualified transformer area, historical curve of the line loss rate of the transformer area, fluctuation analysis of the line loss rate of the transformer area and data downloading.
9. The cloud platform-based method for analyzing and managing the electricity quantity and the electricity charge of the large electricity user, as claimed in claim 1, wherein: step 8, establishing an electric charge analysis optimization scheme business module, wherein the electric power large user executes two electric power prices, namely the electric power prices consist of basic electric power prices and electric power price, and the sum of the basic electric power prices and the electric power price constitutes chargeable electric charge; the customer who carries out two electricity prices carries out the power factor to adjust the electricity charge method according to the height of the power factor; the system carries out overall evaluation and reminding on the special transformer users by monitoring the power utilization condition of the large power users in real time and adopting effective data model analysis.
10. A computer storage medium, characterized by: the computer storage medium stores a computer program, and the computer program when executed by a processor implements the steps of the cloud platform-based power consumer electricity consumption and electricity fee analysis and treatment method for large power users according to claims 1 to 9.
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